WDAM

Publications

2017

Anna Gavrilova, Olga Rebrova, Elena Nagaeva, Tatiana Shiryaeva, Valentina Peterkova, Ivan Dedov
Artificial neural networks for prediction of final height in children with growth hormone deficiency. WDAM (2017)
Natalia Korepanova
Subgroup Discovery for Treatment Optimization. WDAM (2017)
Alexander Vodyaho, Nataly Zhukova, Dmitry Kurapeev, Mikhail Lushnov
Modeling Framework for Medical Data Semantic Transformations. WDAM (2017)
Alexey Neznanov
New Reality in Clinical Informatics and Explanation-oriented Methods of Data Analysis. WDAM (2017)
Sergey Morozov, Ekaterina Guseva, Dmitry Safronov
How to make clinical data actionable: an example of radiology quality management and peer-review system. WDAM (2017)
Svetla Boytcheva
Exploring Interval Graphs of Rare Diseases in Retrospective Analysis of Outpatient Records. WDAM (2017)
Svetlana Shchelykalina, Kirill Kiselev, Tatiana Zarubina
Big Data and machine learning in medicine: the main problems. WDAM (2017)
Ilya Karpukhin, Vladimir Yashkin
Information Support Features of the Medical Research Process Conduction in a Huge Net Laboratory. WDAM (2017)
Ella Y. Tyuryumina
Consolidated mathematical growth Model of Breast Cancer CoMBreC. WDAM (2017)

volume 6, 2017

Workshop on Data Analysis in Medicine, WDAM 2017, Moscow, Russia, May 29, 2017 WDAM 6 (2017)