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Special Session
Special Session on
Mining Self-reported Outcome Measures, Clinical Assessments, and Non-invasive Sensor Data Towards Facilitating Diagnosis, Longitudinal Monitoring, and Treatment
 - SERPICO 2020

24 - 26 February, 2020 - Valletta, Malta

Within the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2020


Athanasios Tsanas
Usher Institute, Medical School, University of Edinburgh
United Kingdom
Brief Bio
Thanasis studied Engineering for his undergraduate and MSc degrees and completed a PhD in Applied Mathematics at the University of Oxford (2012). He continued working at the University of Oxford as a Research Fellow in Biomedical Engineering and Applied Mathematics (2012-2016), Stipendiary Lecturer in Engineering Science (2014-2016), and Lecturer in Statistical Research Methods (2016-2019); he joined the Usher Institute, Edinburgh Medical School, University of Edinburgh in January 2017 on a prestigious tenure-track Chancellor’s Fellowship. He secured tenure a year early, in December 2019, and was promoted to Associate Professor in Data Science (May 2020). Thanasis founded and leads the inter-disciplinary Data Analytics Research and Technology in Healthcare (DARTH) group ( He received the Andrew Goudie award (top PhD student across all disciplines, St. Cross, University of Oxford, 2011), the EPSRC Doctoral Prize award (2012), won the annual Physionet competition on 'Predicting mortality of ICU patients' (2012, as a key member of the Oxford biomedical engineering team) the young scientist award (MAVEBA, 2013), the EPSRC Statistics and Machine Learning award (2015), and won a ‘Best reviewer award’ from the IEEE Journal of Biomedical Health Informatics (2015). One of his research papers has been highlighted as a ‘key scientific article’ in Renewable Energy and Global Innovations, whilst some of his work has been covered in the media including Reuters. He leads the development and delivery of the 'Clinical Decision Support and Actionable Data Analytics' theme in the NHS Digital Academy, an innovative leadership programme in the UK which aims to annually train 100 CIOs and CCIOs and transform the NHS. He sits on the Editorial Boards of JMIR Mental Health and JMIR mHealth and uHealth. He is a Senior Member of IEEE, a Fellow of the Higher Education Academy, and a Fellow of the Royal Society of Medicine.
Andreas Triantafyllidis
Information Technologies Institute, Information Technologies Institute, CERTH

Brief Bio
Dr Andreas Triantafyllidis is a research scientist at the Information Technologies Institute, Centre for Research and Technology – Hellas (CERTH-ITI). He received the PhD in Medical Informatics from the Aristotle University of Thessaloniki in 2013 and he was trained as postdoctoral researcher in Mobile Health at the Department of Engineering Science, University of Oxford from 2013-2015. His research interests include medical informatics, pervasive computing, artificial intelligence, and computerised decision support. During the last 11 years, he has worked in 8 EU and 3 UK NHS-funded projects (e.g., PATHway, SUPPORT-HF, REMOTE), leading in the design, development and evaluation of novel computerised systems toward achieving the independent living of patients and improving their health. He has received the postdoctoral fellowship of “Excellence” from the State Scholarships Foundation from 2015 to 2017. As a PhD student, he won 2 best paper awards in international conferences (International Symposium on Ambient Intelligence 2011, MobiHealth 2010), and as a master’s student he was the recipient of the award for the “excellent research activity during the MSc. Studies in the Medical School of Aristotle University of Thessaloniki”, in 2009. He has published his research in leading international peer-reviewed journals in the fields of medical engineering and digital health such as the Journal of Medical Internet Research (ranked 1st in digital health journals among 22), and the IEEE Journal of Biomedical and Health Informatics (in top 3 in health information journals among 57). He is a regular reviewer of the International Journal of Medical Informatics, the Journal of Medical Internet Research and other journals, and he has served as PC member or organising committee member for international conferences such as the MEDICON 2016 and the ICBHI 2017. He has been Assistant Editor for the MedInfo 2017 world congress in China, and MedInfo 2019 in Lyon, after a selection process. He has also been selected as evaluator of national research actions (EDK 2017) from the General Secretariat for Research and Technology - Hellas. Key results of his research have been featured in Deutsche Welle (2016), OxfordMail (2015), and Tech Talks Central (2014).
Georgios Theodorakopoulos
Cardiff University
United Kingdom

Brief Bio
George Theodorakopoulos received the Diploma degree from the National Technical University of Athens, Greece, in 2002, and the M.S. and Ph.D. degrees from the University of Maryland, College Park, MD, USA, in 2004 and 2007, all in electrical and computer engineering. He is a Senior Lecturer at the School of Computer Science & Informatics, Cardiff University, since 2012. From 2007 to 2011, he was a Senior Researcher at the Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. He is a coauthor (with John Baras) of the book Path Problems in Networks (Morgan & Claypool, 2010). He received the Best Paper award at the ACM Workshop on Wireless Security, October 2004, for "Trust evaluation in ad-hoc networks" and the 2007 IEEE ComSoc Leonard Abraham prize for "On trust models and trust evaluation metrics for ad hoc networks." He coauthored the paper "Quantifying Location Privacy," which was runner-up for the 2012 PET Award (Award for Outstanding Research in Privacy Enhancing Technologies).
Siddharth Arora
University of Oxford
United Kingdom

Brief Bio
Siddharth Arora is a Career Development Fellow in Management Science at Saïd Business School. He obtained his DPhil from the University of Oxford and his research is primarily aimed at developing statistical models for time series forecasting. Siddharth’s research interests include: time series analysis, probabilistic forecasting, biomedical signal processing, chaos synchronization, and model combination. His research has applications in the following areas: Healthcare (modelling disease symptom severity using wearable technologies), Energy (predicting residential and SME electricity consumption recorded using smart meters), Macroeconomics (modelling GNP), and Climate (comparing forecasts from GCMs with statistical time series models).


There is increasingly available data to support more reliable, evidence-based clinical assessment towards diagnosis, monitoring disease trajectory, and rehabilitation. These come from a variety of sources, including self-reports from patients, clinician-generated reports, wearable devices, and smartphones. This special session will cover new developments towards mining Patient Reported Outcome Measures (PROMs), clinical assessments (both longitudinal and also multimodal assessments), and sensor-based datasets. Moreover, we welcome submissions covering data anonymization and privacy of medical data.

Topics of Interest
Topics of interest include, but are not limited to:
  • Patient-reported Outcome Measures and Self-reports from Questionnaires
  • Natural Language Processing and Social Media
  • Adherence Measures and Patient Compliance
  • Longitudinal self-reports and Clinical Reports Towards Understanding Disease Trajectory
  • Biomedical Speech Signal Processing Machine Learning (Retrospective Studies or Real-time Machine Learning Approaches)
  • Real-life Digital Health/Biomedical Interventions
  • Clinical Decision Support Systems
  • Knowledge Discovery in Intelligent Health Systems
  • Electronic Health Records
  • Medical Devices, Wearable Sensors and Sensor networks
  • Medical Data Anonymization Privacy and Security of Medical Data


Paper Submission: December 19, 2019 (expired)
Authors Notification: January 9, 2020 (expired)
Camera Ready and Registration: January 17, 2020 (expired)


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by DBLP, Web of Science / Conference Proceedings Citation Index, EI, SCOPUS, Microsoft Academic, Semantic Scholar and Google Scholar.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


BIOSTEC Special Sessions - SERPICO 2020