ST5 - Empowering Patients with Cancer through Connected Health

Luis Fernandez-Luque's picture
Luis Fernandez-Luque
Qatar Computing Research Institute (QA)
Brian Caulfield's picture
Brian Caulfield
Conference room
Session time
Thursday, June 22, 2017 - 14:00 to 14:45
iManageCancer:Empowering patients and strengthening self-management in cancer diseases
Abstract: 
Cancer research has led to more cancer patients being cured, and many more enabled to live with their cancer. As such, some cancers are now considered a chronic disease, where patients and their families face the challenge to take an active role in their own care and in some cases in their treatment. To this direction the iManageCancer project aims to provide a cancer specific self-management platform designed according to the needs of patient groups while focusing, in parallel, on the wellbeing of the cancer patient.
Haridimos Kondylakis's picture
Haridimos Kondylakis
Institute of Computer Science FORTH (GR)
Anca Bucur's picture
Anca Bucur
Feng Dong's picture
Feng Dong
Chiara Renzi's picture
Chiara Renzi
Andrea Manfrinati's picture
Andrea Manfrinati
Norbert Graf's picture
Norbert Graf
Stefan Hoffman's picture
Stefan Hoffman
Lefteris Koumakis's picture
Lefteris Koumakis
Gabriella Pravettoni's picture
Gabriella Pravettoni
Kostas Marias's picture
Kostas Marias
Manolis Tsiknakis's picture
Manolis Tsiknakis
Stephan Kiefer's picture
Stephan Kiefer
The Design of a Mobile App for Promotion of Physical Activity and Self-Management in Prostate Cancer Survivors: Personas, Feature Ideation and Low-Fidelity Prototyping
Abstract: 
"Most prostate cancer survivors are confronted with disease-related and treatment-related side effects that impact their quality of life. A tool that combines specific physical activity coaching with the promotion of a healthy lifestyle and self-management guidance might be a successful method to enhance a lifestyle change in these patients. As a prerequisite for useful health technology, it is important to consider a design process centred in the patients.
Francisco Monteiro-Guerra's picture
Francisco Monteiro-Guerra
Salumedia Tecnologias (SP)
Octavio Rivera-Romero's picture
Octavio Rivera-Romero
Vasiliki Mylonopoulou's picture
Vasiliki Mylonopoulou
Gabriel R. Signorelli's picture
Gabriel R. Signorelli
Oncoavanze (SP)
Francisco Zambrana's picture
Francisco Zambrana
Luis Fernandez-Luque's picture
Luis Fernandez-Luque
Qatar Computing Research Institute (QA)
The application of neuromuscular electrical stimulation (NMES) technologies in cancer care
Abstract: 
Despite the increase in long term cancer survivors, successful treatment is associated with significant sequelae. As a result, participation in voluntary exercise becomes difficult highlighting the need for pragmatic alternatives. Neuromuscular electrical stimulation (NMES) has been shown as effective in pathological conditions for improving muscle strength. However, its use in cancer care is sparse and has provided equivocal results. This paper outlines a proposed approach to the design, development, evaluation and implementation of NMES technology into cancer pathways.
Dominic OConnor's picture
Dominic OConnor
University College Dublin (IE)
Brian Caulfield's picture
Brian Caulfield

ST7 - MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications

Spiros Nikolopoulos's picture
Spiros Nikolopoulos
Centre for Research and Technology Hellas ITI-CERTH (GR)
Elisavet Chatzilari's picture
Elisavet Chatzilari
Centre for Research and Technology Hellas ITI-CERTH (GR)
Conference room
Session time
Thursday, June 22, 2017 - 14:45 to 15:30
An Error Aware SSVEP-based BCI
Abstract: 
ErrPs have been used lately in order to improve several existing BCI applications. In our study we investigate the contribution of ErrPs in a SSVEP based BCI. An extensive study is presented in order to discover the limitations of the proposed scheme. Using Common Spatial Patterns and Random Forests we manage to show encouraging results regarding the incorporation of ErrPs in a SSVEP system. Finally, we provide a novel methodology (ICRT) that can measure the gain of a BCI system by incorporating ErrPs in terms of time efficiency.
Fotis Kalaganis's picture
Fotis Kalaganis
CERTH/ITI (GR)
Elisavet Chatzilari's picture
Elisavet Chatzilari
Centre for Research and Technology Hellas ITI-CERTH (GR)
Kostas Georgiadis's picture
Kostas Georgiadis
Spiros Nikolopoulos's picture
Spiros Nikolopoulos
Centre for Research and Technology Hellas ITI-CERTH (GR)
Nikos Laskaris's picture
Nikos Laskaris
Ioannis Kompatsiaris's picture
Ioannis Kompatsiaris
Analyzing the Impact of Cognitive Load in Evaluating Gaze-based Typing
Abstract: 
Gaze-based virtual keyboards allow people with motor disability a method for text entry by eye movements. The effectiveness and usability of these keyboards have traditionally been evaluated with conventional text entry performance measures such as words per minute, keystroke saving, error rate, accuracy, etc. However, in comparison to the conventional text entry approaches, gaze-based typing involves natural eye movements that are highly correlated with human brain cognition.
Korok Sengupta's picture
Korok Sengupta
University of Koblenz (DE)
Jun Sun's picture
Jun Sun
Raphael Menges's picture
Raphael Menges
Institute for Web Science and Technologies (DE)
Chandan Kumar's picture
Chandan Kumar
University of Koblenz (DE)
Steffen Staab's picture
Steffen Staab
Assessing the Usability of Gaze-Adapted Interface against Conventional Eye-Based Input Emulation
Abstract: 
In recent years, eye tracking systems have greatly improved, beginning to play a promising role as an input medium. Eye trackers can be used for application control either by simply emulating the mouse device in the traditional graphical user interface, or by customized interfaces for eye gaze events. In this work we evaluate these two approaches to assess their impact in usability. We present a gaze-adapted Twitter application interface with direct interaction of eye gaze input, and compare it to the Twitter in a conventional browser interface with gaze-based mouse and keyboard emulation.
Chandan Kumar's picture
Chandan Kumar
University of Koblenz (DE)
Raphael Menges's picture
Raphael Menges
Institute for Web Science and Technologies (DE)
Steffen Staab's picture
Steffen Staab

ST9 - Cloud Security and Data Privacy by Design

Iraklis Paraskakis's picture
Iraklis Paraskakis
SEERC (GR) & The University of Sheffield (UK)
Conference room
Session time
Thursday, June 22, 2017 - 16:00 to 17:15
Secure Database Outsourcing to the Cloud: Side-Channels, Counter-Measures and Trusted Execution
Abstract: 
"Outsourcing data processing and storage to the cloud is a persistent trend in the last years. Cloud computing offers many advantages like flexibility in resource allocation, cost reduction and high availability. However, when sensitive information is handed to a third party, security questions are raised since the cloud provider and his employees are not fully trusted. Standard security mechanisms like transport encryption and regular audits alone can't solve the issue of insider attacks. Additional cryptographic techniques are required. In this paper we build upon an existing
Matthias Gabel's picture
Matthias Gabel
Jeremias Mechler's picture
Jeremias Mechler
Karlsruhe Institute of Technology (DE)
Ontological Templates for Regulating Access to Sensitive Medical Data in the Cloud
Abstract: 
By embracing the cloud computing paradigm for storing and processing electronic medical records (EMRs), modern healthcare providers are able to realise significant cost savings. However, relinquishing control of sensitive medical data by delegating their storage and processing to third-party cloud providers naturally raises significant security concerns. One way to alleviate these concerns is to devise appropriate policies that infuse adequate access controls in cloud services.
Simeon Veloudis's picture
Simeon Veloudis
South East European Research Centre (SEERC) The University of Sheffield
Iraklis Paraskakis's picture
Iraklis Paraskakis
SEERC (GR) & The University of Sheffield (UK)
Yiannis Verginadis's picture
Yiannis Verginadis
Ioannis Patiniotakis's picture
Ioannis Patiniotakis
Gregoris Mentzas's picture
Gregoris Mentzas
HealthShare: Using Attribute-Based Encryption for Secure Data Sharing Between Multiple Clouds
Abstract: 
"In this paper, we propose HealthShare –a forwardlooking approach for secure ehealth data sharing between multiple organizations that are hosting patients’ data in different clouds. The proposed protocol is based on a Revocable Key-Policy Attribute-Based Encryption scheme and allows users to share encrypted health records based on a policy that has been defined by the data owner (i.e. patient, a member of the hospital, etc). Furthermore, access to a malicious or compromised user/organization can be easily revoked without the need to generate fresh encryption keys."
Antonis Michalas's picture
Antonis Michalas
University of Westminster (UK)
Noam Weingarten's picture
Noam Weingarten
Security in a Distributed Key Management Approach
Abstract: 
Cloud computing offers many advantages as flexibility or resource-efficiency and can significantly reduce costs. However, when sensitive medical data is outsourced to a cloud provider, classified records can leak. To protect the patients and application providers from a privacy breach data must be encrypted before it is uploaded. In this work, we present a distributed key management scheme that handles user-specific keys in a single-tenant scenario. The underlying database is encrypted and the secret key is only reconstructed temporarily in memory.
Gunther Schiefer's picture
Gunther Schiefer
Karlsruhe Institute of Technology (DE)
Murat Citak's picture
Murat Citak
Andreas Schoknecht's picture
Andreas Schoknecht
Matthias Gabel's picture
Matthias Gabel
Jeremias Mechler's picture
Jeremias Mechler
Karlsruhe Institute of Technology (DE)

ST1 - Ambient Assisted Living based on IoT Technologies

Dimitrios Koutsouris's picture
Dimitrios Koutsouris
National Technical University of Athens (GR)
Kostas Giokas's picture
Kostas Giokas
AiM Research Biomedical Engineering Lab NTUA (GR)
Conference room
Session time
Friday, June 23, 2017 - 11:00 to 12:30
Applied technologies and Smart Home applications in the health sector
Abstract: 
Smart homes are no longer design concepts of the future. They are being built now, and they are having a direct impact on the lifestyles of people living in them. The aim of smart home systems is to create an environment that is aware of the activities taking place within it. Beside the healthy people, disabled people also need such systems to make their life easier, because they encounter with a lot of difficulties in their everyday life especially when they are at home.
Nikolaos Katsivelis's picture
Nikolaos Katsivelis
Athanasios Anastasiou's picture
Athanasios Anastasiou
Ourania Petropoulou's picture
Ourania Petropoulou
George Lambrou's picture
George Lambrou
National Technical University of Athens (GR)
Kostas Giokas's picture
Kostas Giokas
AiM Research Biomedical Engineering Lab NTUA (GR)
Dimitrios Koutsouris's picture
Dimitrios Koutsouris
National Technical University of Athens (GR)
A Fall Prevention System for the Elderly: Preliminary Results
Abstract: 
The fall prevention in the elderly population is a field of growing interest. This paper presents the preliminary results of a fall prevention system based on a customized exergame program. Results show that the participants involved in the experiments evaluate positively the system usability. Moreover, in order to evaluate the efficiency of the system, a global improvement of around 8.8% has been observed in the postural response after just two sessions with the system.
Giuseppe Palestra's picture
Giuseppe Palestra
StreamVision sas (FR)
Mohamed Rebiai's picture
Mohamed Rebiai
Estelle Corutial's picture
Estelle Corutial
Kostas Giokas's picture
Kostas Giokas
AiM Research Biomedical Engineering Lab NTUA (GR)
Dimitrios Koutsouris's picture
Dimitrios Koutsouris
National Technical University of Athens (GR)
Indoor Localization: A Cost-Effectiveness vs. Accuracy Study
Abstract: 
"Recognizing the occupants’ movement and locations within a home is a basic functionality, underlying a variety of smart-home services, including energy management, ambient environment control, and assistive-living services for seniors and people with disabilities. The outdoor-localization variant of the problem is effectively addressed with the use of GPS; however, GPS does not work well inside buildings, which makes the indoor positioning problem a very active research topic.
Parisa Mohebbi's picture
Parisa Mohebbi
Eleni Stroulia's picture
Eleni Stroulia
University of Alberta (CA)
Ioanis Nikolaidis's picture
Ioanis Nikolaidis
University of Alberta (CA)
Quality of Context Evaluating Approach in AAL Environment using IoT Technology
Abstract: 
This paper presents an approach to the evaluation of Quality of Context (QoC) parameters in a ubiquitous Ambient Assisted Living (AAL) e-Health platform, supporting the care of people with special needs (elderly or with health problems) thus improving their quality of life. The proposal is initially verified with the Siafu simulator in an AAL scenario where the user’s health is monitored with information about blood pressure and body temperature. The research proceeded with the use of IoT technology, the e-Health Sensor Platform, a differentiated real environment.
Debora Cabral Nazario's picture
Debora Cabral Nazario
Pedro J. Campos's picture
Pedro J. Campos
Eduardo C. Inacio's picture
Eduardo C. Inacio
Federal University of Santa Catarina (BR)
Mario A. R. Dantas's picture
Mario A. R. Dantas
Robotic applications towards an interactive alerting system for medical purposes
Abstract: 
"Social consumer robots are slowly but strongly invading our everyday lives as their prices are becoming lower and lower, constituting them affordable for a wide range of civilians. There has been a lot of research concerning the potential applications of social robots, some of which may implement companionship or proxying technology-related tasks and assisting in everyday household endeavors, among others.
Konstantinos Panayiotou's picture
Konstantinos Panayiotou
Aristotle University of Thessaloniki (GR)
Sofia E. Reppou's picture
Sofia E. Reppou
George Karagiannis's picture
George Karagiannis
Emmanouil Tsardoulias's picture
Emmanouil Tsardoulias
Aristeidis G. Thallas's picture
Aristeidis G. Thallas
Andreas L. Symeonidis's picture
Andreas L. Symeonidis
HEAR?INFO: A Modern Mobile-Web Platform Addressed to Hard-of-Hearing Elderly Individuals
Abstract: 
In the concept of the hearing loss awareness, a modern mobile-web platform is hereby presented, aiming to offer constant online access to individuals who are hard of hearing, while presenting them regularly updated information concerning their condition. This information is presented via a specific modified interface, taking into account the special needs of the specific community. After a thorough research in GUI, the software requirements substitute or supplement the lack of integrated sound systems, with visual modifications, caption text and even specially chosen colours.
Penelope Ioannidou's picture
Penelope Ioannidou
National Technical University of Athens (GR)
Panagiotis Katrakazas's picture
Panagiotis Katrakazas
Stefanos Kollias's picture
Stefanos Kollias
Sarafidis Michail's picture
Sarafidis Michail
National Technical University of Athens (GR)
Dimitrios Koutsouris's picture
Dimitrios Koutsouris
National Technical University of Athens (GR)

ST4 - Computer-aided and robotic endoscopy systems

Dimitris Iakovidis's picture
Dimitris Iakovidis
University of Thessaly (GR)
Anastasios Koulaouzidis's picture
Anastasios Koulaouzidis
Conference room
Session time
Friday, June 23, 2017 - 16:45 to 18:00
Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy scans using Multiple-Frame Voting
Abstract: 
This paper explores the feasibility of using multi-frame analysis to increase the classification performance of machine learning methods for cancer detection in Volumetric Laser Endomicroscopy (VLE). VLE is a novel and promising modality for the detection of neoplasia in patients with Barett's Esophagus (BE). It produces hundreds of high-resolution, cross-sectional images of the esophagus and offers considerable advantages compared to current methods.
Alexandros Rikos's picture
Alexandros Rikos
Fons van der Sommen's picture
Fons van der Sommen
Eindhoven Univeristy of Technology (NL)
Anne-Fre Swager's picture
Anne-Fre Swager
Svitlana Zinger's picture
Svitlana Zinger
Wouter Curvers's picture
Wouter Curvers
Erik Schoon's picture
Erik Schoon
Jacques Bergman's picture
Jacques Bergman
Peter de With's picture
Peter de With
Real-Time Instrument Scene Detection in Screening GI Endoscopic Procedures
Abstract: 
Here we describe a new and effective real-time solution for detecting video segments showing an instrument used during diagnostic or therapeutic operations in endoscopic procedures. In addition, we present a new method to create training data: similarity-based data augmentation. This method automates most of the creation of a large training dataset and prevents extensive manual effort to collect and annotate training data by domain experts.
Chuanhai Zhang's picture
Chuanhai Zhang
Iowa State University (USA)
Wallapak Tavanapong's picture
Wallapak Tavanapong
Johnny Wong's picture
Johnny Wong
Piet C. de Groen's picture
Piet C. de Groen
Junghwan Oh's picture
Junghwan Oh
Sparse coded handcrafted and deep features for colon capsule video summarization
Abstract: 
Abstract—Capsule endoscopy, which uses a wireless camera to take images of the digestive track, is emerging as an alternative to traditional wired colonoscopy. A single examination produces a sequence of approximately 50,000 frames. These sequences are manually reviewed, which is time consuming and typically takes about 45–90 minutes and requires the undivided concentration of the reviewer. In this paper, we propose a novel capsule video summarization framework using sparse coding and dictionary learning in feature space.
Ahmed Mohammed's picture
Ahmed Mohammed
Norwegian University of Science and Technology (NO)
Sule Yildirim's picture
Sule Yildirim
Marius Pedersen's picture
Marius Pedersen
Oistein Hovde's picture
Oistein Hovde
Faouzi Cheikh's picture
Faouzi Cheikh
Visual Localization of Wireless Capsule Endoscopes Aided by Artificial Neural Networks
Abstract: 
Various modalities are used for the examination of the gastrointestinal (GI) tract. One such modality is Wireless Capsule Endoscopy (WCE), a non- invasive technique which consists of a swallowable color camera that enables the detection of GI pathology with only minimal patient discomfort. Currently, tracking of the capsule position is estimated in the 3D abdominal space, using radio-frequency (RF) triangulation.
George Dimas's picture
George Dimas
Dimitris Iakovidis's picture
Dimitris Iakovidis
University of Thessaly (GR)
Alexandros Karargyris's picture
Alexandros Karargyris
Gastone Ciuti's picture
Gastone Ciuti
Anastasios Koulaouzidis's picture
Anastasios Koulaouzidis
Retinal OCT Image Segmentation Using Fuzzy Histogram Hyperbolization and Continuous Max-Flow
Abstract: 
The segmentation of retinal layers is vital for tracking progress of medication and diagnosis of various eye diseases. To date many methods for the analysis exists, however the speckle noise and shadows of retinal blood vessel remains a challenge, with negative influence on the performance of segmentation algorithms. Previous attempts have been focused on image pre-processing or developing sophisticated models for segmentation to address this problem, but it still remains an area of active research.
Bashir Dodo's picture
Bashir Dodo
Brunel Unevirsity London (UK)
Yongmin Li's picture
Yongmin Li
Xiaohui Liu's picture
Xiaohui Liu

ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems

Panagiotis Antoniou's picture
Panagiotis Antoniou
Aristotle University of Thessaloniki (GR)
Daphne Economou's picture
Daphne Economou
University of Westminster (UK)
Conference room
Session time
Saturday, June 24, 2017 - 09:00 to 11:00
Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes
Abstract: 
Breast cancer is the most common cancer in women both in developed and developing countries. More than half of all cancer mobile application concern breast cancer. Gamification is widely used in mobile software applications created for health-related services. Current prevalence of gamification in breast cancer apps is unknown and detection must be manually performed. The purpose of this study is to describe and produce a tool allowing automatic detection of apps which contain gamification elements and thus empowering researchers to study gamification using large data samples.
Guido Giunti's picture
Guido Giunti
Salumedia Tecnologias (SP)
Diego Giunta's picture
Diego Giunta
Santiago Hors-Fraile's picture
Santiago Hors-Fraile
Minna Isomursu's picture
Minna Isomursu
Diana Karoseviciute's picture
Diana Karoseviciute
Connected Health in Multiple Sclerosis: a mobile applications review
Abstract: 
Multiple Sclerosis (MS) is an unpredictable, often disabling disease that can adversely affect any body function; this often requires persons with MS to be active patients who are able to self-manage. There are currently thousands of health applications available but it is unknown how many concern MS. We conducted a systematic review of all MS apps present in the most popular app stores (iTunes and Google Play store) on June 2016 to identify all relevant MS apps. After discarding non-MS related apps and duplicates, only a total of 25 MS apps were identified.
Guido Giunti's picture
Guido Giunti
Salumedia Tecnologias (SP)
Estefania Guisado-Fernandez's picture
Estefania Guisado-Fernandez
Brian Caulfield's picture
Brian Caulfield
A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities
Abstract: 
In clinical practice, a misdiagnosis can lead to incorrect treatment, delayed treatment, or in some cases, no treatment at all; consequently, the condition of a patient may worsen to varying degrees, in some cases proving fatal. The accurate 3D reconstruction of organs, which is a pioneering tool of medical image computing (MIC) technology, plays a key role in computer aided diagnosis (CADx), whereby enabling medical professionals to perform enhanced analysis on a region of interest.
Barbara Villarini's picture
Barbara Villarini
University of Westminster (UK)
Hykoush Asaturyan's picture
Hykoush Asaturyan
E. Louise Thomas's picture
E. Louise Thomas
Rhys Mould's picture
Rhys Mould
Jimmy D Bell's picture
Jimmy D Bell
Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity
Abstract: 
Obesity is one of the major health risk factors behind the rise of non-communicable conditions. Understanding the factors influencing obesity is very complex since there are many variables that can affect the health behaviors leading to it. Nowadays, multiple data sources can be used to study health behaviors, such as wearable sensors for physical activity and sleep, social media, mobile and health data. In this paper we describe our experiences with the design of a dashboard for the visualization of actigraphy and biometric data from a childhood obesity camp in Qatar.
Michael Aupetit's picture
Michael Aupetit
Luis Fernandez-Luque's picture
Luis Fernandez-Luque
Qatar Computing Research Institute (QA)
Meghna Singh's picture
Meghna Singh
Qatar Computing Research Institute (QA)
Jaideep Srivastava's picture
Jaideep Srivastava
The 360QS Toolkit for Sleep and Physical Activity Analysis based on Wearables
Abstract: 
Sleep and physical activity are human behaviors that play a major role in our health. Poor sleep or lack of physical activity have been found to increase health risks and reduce quality of life. The rapid adoption and evolution of pervasive computing systems, both in the health and wellness domain, are creating a new data-intensive context in which we can learn about the sleep and physical activity patterns of individuals. In this paper we provide an overview of the toolkit we have developed to conduct research on personal health data about sleep and physical activity.
Meghna Singh's picture
Meghna Singh
Qatar Computing Research Institute (QA)
Luis Fernandez-Luque's picture
Luis Fernandez-Luque
Qatar Computing Research Institute (QA)
Jaideep Srivastava's picture
Jaideep Srivastava
PhytoCloud: A Gamified Mobile Web Application to Modulate Diet and Physical Activity of Women with Breast Cancer
Abstract: 
Breast cancer incidence and mortality rates vary geographically reflecting factors including regional and cultural differences in diet and lifestyle. There are numerous successful commercial mobile apps to help dieters control their diet and manage weight. However, such products are not suitable for people with special medical conditions that may require targeted dietary as well as motivational support.
Daphne Economou's picture
Daphne Economou
University of Westminster (UK)
Miriam Dwek's picture
Miriam Dwek
Claire Roberston's picture
Claire Roberston
Elliott Bradley's picture
Elliott Bradley
Thanos Kounenis's picture
Thanos Kounenis
Mohammad Ramezanian's picture
Mohammad Ramezanian
Nathan Bell's picture
Nathan Bell
Tayebeh Azimi's picture
Tayebeh Azimi
Towards evidence based m-health application design in cancer patient healthy lifestyle interventions.
Abstract: 
Cancer is one of the most prevalent diseases in Europe and the world. Significant correlations between dietary habits and cancer incidence and mortality have been confirmed by the literature. Physical activity habits are also directly implicated in the incidence of cancer. Lifestyle behaviour change may be benefited by using mobile technology to deliver health behaviour interventions. M-Health offers a promising cost-efficient approach to deliver en-masse interventions.
Panagiotis Antoniou's picture
Panagiotis Antoniou
Aristotle University of Thessaloniki (GR)
Octavio Rivera-Romero's picture
Octavio Rivera-Romero
Maria Karagianni's picture
Maria Karagianni
Panagiotis Bamidis's picture
Panagiotis Bamidis
Aristotle University of Thessaloniki (GR)
Virtual scenarios for stealth assessment of the elderly; Perceptions and acceptance of technology-based health and wellness interventions.
Abstract: 
As adults get older, the risks are increasing on their health, such as chronic diseases, functional decline and geriatric syndromes which threaten their well-being. Technology has many features to support aging wellness enabling older people maintaining healthy and sociable as they grow. However, the needs of the elderly of the population are not always the same. Stealth assessment, coming from the educational domain, can assess such needs.
Panagiotis Antoniou's picture
Panagiotis Antoniou
Aristotle University of Thessaloniki (GR)
Vasiliki Zilidou's picture
Vasiliki Zilidou
Aristotle University of Thessaloniki (GR)
Anastasios Siountas's picture
Anastasios Siountas
Aristotle University of Thessaloniki (GR)
Panagiotis Bamidis's picture
Panagiotis Bamidis
Aristotle University of Thessaloniki (GR)

ST2 - Social data and medical data analytics

Pedro Pereira Rodrigues's picture
Pedro Pereira Rodrigues
University of Porto (PT)
Athena Vakali's picture
Athena Vakali
Aristotle University of Thessaloniki (GR)
Conference room
Session time
Saturday, June 24, 2017 - 09:00 to 11:00
Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms
Abstract: 
Many symptoms of neuropsychiatric disorders such as tinnitus are subjective and variable over time. Typically, patients are asked to report symptoms, their severity, and duration retrospectively, e.g., in interviews or self-report questionnaires. However, little is known on how well such retrospective reports correspond with the experience of the symptoms at the moment they occurred in daily life. Mobile technologies can help in that end: mobile self-help services allow patients to record their symptoms prospectively, when (or short after) they occur in daily life.
Rudiger Pryss's picture
Rudiger Pryss
Ulm University (DE)
Thomas Probst's picture
Thomas Probst
Winfried Schlee's picture
Winfried Schlee
Johannes Schobel's picture
Johannes Schobel
Berthold Langguth's picture
Berthold Langguth
Patrick Neff's picture
Patrick Neff
Myra Spiliopoulou's picture
Myra Spiliopoulou
Otto-von-Guericke University Magdeburg (DE)
Manfred Reichert's picture
Manfred Reichert
Mining Facebook data of people with rare diseases
Abstract: 
"This research is concerned with the study of Spanish Facebook pages that deal with rare diseases. The objectives of this research are to characterise these pages and to compare them with the priorities of the Decalogue of the Spanish Federation of Rare Diseases (FEDER). This research uses Netvizz to download the data, word clouds in R to perform text mining, TextBlob in Python to perform sentiment analysis, and log-likelihood in R to compare Facebook and Decalogue words.
Natalia Reguera's picture
Natalia Reguera
Laia Subirats's picture
Laia Subirats
Eurecat & Open University of Catalonia (SP)
Manuel Armayones's picture
Manuel Armayones
OncoCall: analyzing the outcomes of the oncology telephone patient assistance
Abstract: 
Hospital Puerta del Hierro in Madrid, Spain, implemented in November 2011 a new service that aims to aid the patients of the oncology service with their doubts during their treatments through the use of a centralized call center. This service was created with the aim of provide a more personalized patient attention as well as to try to reduce the number of re-entries in the hospital in the emergencies.
Ernestina Menasalvas's picture
Ernestina Menasalvas
Consuelo Gonzalo's picture
Consuelo Gonzalo
Universidad Politécnica de Madrid (SP)
Alejandro Rodriguez Gonzalez's picture
Alejandro Rodriguez Gonzalez
Mariano Provencio's picture
Mariano Provencio
Cristina Gonzalez de Pedro's picture
Cristina Gonzalez de Pedro
Marta Mendez's picture
Marta Mendez
Olga Zaretskaia's picture
Olga Zaretskaia
Juan Luis Cruz's picture
Juan Luis Cruz
Jesus Rey's picture
Jesus Rey
Consuelo Parejo's picture
Consuelo Parejo
Reciprocity and Its Association with Treatment Adherence in an Online Breast Cancer Forum
Abstract: 
Online health communities (OHCs) are increasingly relied upon by individuals exchanging social support for diagnoses and treatment regimens. It has been shown that social support from close relationships (e.g., family and friends) positively influence treatment adherence in offline environments, but much less is known about the online setting.
Zhijun Yin's picture
Zhijun Yin
Vanderbilt University (USA)
Lijun Song's picture
Lijun Song
Bradley Malin's picture
Bradley Malin
Combining Subgroup Discovery and Clustering to Identify Diverse Subpopulations in Cohort Study Data
Abstract: 
Subgroup discovery (SD) exploits its full value in applications where the goal is to generate understandable models. Epidemiologists search for statistically significant relationships between risk factors and outcome in large and heterogeneous datasets encompassing information about the participants' health status gathered from questionnaires, medical examinations and image acquisition. SD algorithms can help epidemiologists by automatically detecting such relationships presented as comprehensible rules, aiming to ultimately improve prevention, diagnosis and treatment of diseases.
Uli Niemann's picture
Uli Niemann
University of Magdeburg (DE)
Myra Spiliopoulou's picture
Myra Spiliopoulou
Otto-von-Guericke University Magdeburg (DE)
Bernhard Preim's picture
Bernhard Preim
Till Ittermann's picture
Till Ittermann
Henry VOlzke's picture
Henry VOlzke
Discovering data source stability patterns in biomedical repositories based on simplicial projections from probability distribution distances
Abstract: 
The degree of homogeneity of statistical distributions among data sources is a critical issue when reusing data of Integrated Data Repositories (IDR). Evaluating this data source stability is of utmost importance in order to ensure a confident data reuse. This work tackles the task of discovering and classifying patterns among the statistical distributions of multiple sources in IDRs, by means of a novel approach based on simplicial projections from probability distribution distances, combined with Density-based spatial clustering of applications with noise (DBSCAN).
Pablo Ferri-Borredà's picture
Pablo Ferri-Borredà
Universitat Politècnica de València (SP)
Carlos Saez's picture
Carlos Saez
Juan Miguel Garcia-Gomez's picture
Juan Miguel Garcia-Gomez
Improving diagnosis in Obstructive Sleep Apnea with clinical data: a Bayesian network approach
Abstract: 
In Obstructive Sleep Apnea, respiratory effort is maintained but ventilation decreases/disappears because of the partial/total occlusion in the upper airway. It affects about 4% of men and 2% of women in the world population. The aim was to define an auxiliary diagnostic method that can support the decision to perform polysomnography (standard test), based on risk and diagnostic factors. Our sample performed polysomnography between January and May of 2015.
Daniela Ferreira-Santos's picture
Daniela Ferreira-Santos
CINTESIS (PT)
Pedro Pereira Rodrigues's picture
Pedro Pereira Rodrigues
University of Porto (PT)
Disease-Based Clustering of Hospital Admission: Disease Network of Hospital Networks Approach
Abstract: 
To improve the quality of healthcare planning, healthcare systems face challenges in identifying clusters of similar hospitals while considering varying factors. Clustering hospitals based on their admission behavior would be helpful whereas diagnosis of patients is vital in understanding variation in admission. Therefore, grouping hospitals that show similar behavior on their admission distribution while considering similarity among disease symptoms in admission is the objective of our study.
Nouf Albarakati's picture
Nouf Albarakati
Zoran Obradovic's picture
Zoran Obradovic
Temple University (USA)