Workshop

Data Analysis in Medicine (WDAM-2017)

Workshop Aim

The WDAM-2017 will bring together computer science and medicine to improve public health and wellbeing of individuals and populations globally.

Organizers

Sergei O. Kuznetsov (skuznetsov@hse.ru)
Alexey A. Neznanov (aneznanov@hse.ru)
Ella Ya. Tyuryumina (etyuryumina@hse.ru)

Workshop Topics

Real time data analytics and mobile technologies
Big data analytics for public health, epidemic intelligence, image processing from MRI
Personalisation and profiling, recommender systems for health
mHealth for early identification of health threats and responses

Workshop Audience

Submissions are welcome from the range of stakeholders involved in digital health including:

Computer scientists, health informaticians, emergency medicine experts
Public health experts, epidemiologists, clinicians, GPs
National and international public health agencies
Epidemic intelligence systems providers
Industry and startups, Medtech, IT/SM industry, pharmaceutical industry

Program

09:30 - 10:00	Intro
	Sergei Kuznetsov, Alexey Neznanov NRU HSE New Reality in Clinical Informatics and  Explanation-oriented Methods of Data Analysis
10:00 - 10:30	Keynote
	Svetla Boytcheva Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria Exploring Interval Graphs of Rare Diseases in Retrospective Analysis of Outpatient Records
10:30 - 11:30	Session 1
	Svetlana Shchelykalina, Kirill Kiselev and Tatiana Zarubina Pirogov Russian National Research Medical University (RNRMU) Big Data and Machine Learning in Medicine: Main Problems
	Sergey Morozov, Ekaterina Guseva and Dmitry Safronov Radiology Research and Practical Centre How to Make Clinical Data Actionable: an Example of Radiology Quality Management and Peer-Review System
11:30 - 11:45	Coffee break
11:45 - 13:30	Session 2
	Sergei Arseniev Clinical and Research Institute of Emergency Pediatric Surgery and Trauma Use of Linguistic Technologies for Understanding Visitors Behavior in a Russian Content-Focused Medical Internet Resource
	Anna Gavrilova, Olga Rebrova, Elena Nagaeva, Tatiana Shiryaeva and Valentina Peterkova Endocrinology Research Center Artificial Neural Networks for Prediction Final Height in Children with Growth Hormone Deficiency
	Andrew Ershov, Ilia Karpukchin Gemotest Data Analysis of Big Laborotory
13:30 - 14:30	Lunch
14:30 - 16:30	Session 3
	Andrew Kchudoshin Elsevier S&T in Russia, Iran and CIS countries Pathway Studio и Embase как инструменты анализа биомедицинских данных
	Almira Chernova Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology Fractal Time Series Analysis of the EEG Signals
	Daria Dolotova, Andrey Gavrilov, Igor Kulikov and Ivan Arkhipov Gammamed-Soft, Lomonosov Moscow State University DICOM-images as Foundation 3D-digital Patient
	Andrew Parinov NRU HSE Recomendation System of medicine for treatment of cardiovascular diseases
16:30 - 16:45	Coffee break
16:45 - 17:35	Session 4
	Natalia Korepanova NRU HSE Subgroup Discovery for Treatment Optimization
	Nikita Aleksandrov NRU HSE On Publication of RCT and Real Access of Open Data
	Ella Tyuryumina NRU HSE Mathematical Methods and Software Tools for Prediction of Breast Cancer Developing
17:35 - 18:15	Round table

Call for papers

The working languages of the workshop are English and Russian. A postproceedings volume in CEUR series indexed by Scopus is planned, so three types of contributions are accepted: Abstracts (1 page, Russian or English), short papers (5 - 6 pages, English) and long papers (up to 14 pages, English). Short and long papers should be submitted as PDF files formatted using the Springer LNCS style. Medical abstracts may follow the medical paper structure (background, aims, methods, results, conclusions), but this is not essential. The submission is to be done via EasyChair.