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Special Session
Special Session on
Diagnostic, Prognostic, and Phenotyping Models from Mined Administrative Healthcare Data
 - SERPICO 2022

9 - 11 February, 2022

Within the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2022


Athanasios Tsanas
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.
Holly Tibble
University of Edinburgh
United Kingdom

Brief Bio
Holly studied Mathematics with Operational Research and Statistics for her undergraduate degree in Cardiff University, Epidemiology for her MPhil at Cambridge University, and Medical Informatics for her PhD at Edinburgh University (2021). After completing her MPhil she spent two years at the Melbourne School for Population and Global Health, working in evaluating the impact of policy changes to mental health legislation, using electronic health records. In Edinburgh, she works within the Data Analytics Research and Technology in Healthcare (DARTH) group (, focussing on evaluating the real-world impact of interventions using electronic health records and other administrative health datasets, and predicting clinical outcomes in these datasets using machine learning.
Maram Zahraa
University of Edinburgh
United Kingdom

Brief Bio
Maram Zahraa is a PhD student at the University of Edinburgh researching Understanding and Managing Polypharmacy. She has a BSc in Immunology and Pharmacology and an MSc in Stratified Medicine and Pharmacological Innovation. Her other research interests lie in Multimorbidity, Data Science, Precision Medicine and Clinical Trials.


Administrative healthcare data provide large and panoramic views of national populations, which can be harnessed to provide evidence-based clinical assessment towards diagnosis, monitoring, and phenotyping. These come from a variety of sources, including primary and secondary care encounters, prescribing records, and disease registries.  This special session will cover new developments towards mining administrative healthcare data, including methodology studies, impact assessments, and reviews of ethical considerations.


Topics of interest include, but are not limited to:
  • Methods for Data Extraction from Administrative Healthcare Resources
  • Estimating Medication Adherence
  • Prognostic Modelling from Administrative Healthcare Data
  • Diagnostic Modelling from Administrative Healthcare Data
  • Disease Phenotyping from Administrative Healthcare Data
  • Anonymisation and Security in Administrative Healthcare Data
  • Real-life Digital Health/Biomedical Interventions 
  • Clinical Decision Support Systems 


Paper Submission: November 26, 2021 (expired)
Authors Notification: December 14, 2021 (expired)
Camera Ready and Registration: December 26, 2021 (expired)


Kevin Tsang, University of Edinburgh, United Kingdom
Elizabeth Walker, University of Edinburgh, United Kingdom

(list not yet complete)


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 SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI) and Web of Science / Conference Proceedings Citation Index.
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 2022