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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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