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