WDAM-2017: Volume Information

WDAM-2017. Workshop on Data Analysis in Medicine

9 articles88 pagesPublished: June 4, 2018

Papers

Svetla Boytcheva
1-11
Sergey Morozov, Ekaterina Guseva and Dmitry Safronov
12-18
Ella Tyuryumina
19-42
Alexey Neznanov
43-47
Natalia Korepanova
48-53
Ilya Karpukhin and Vladimir Yashkin
54-60
Svetlana Shchelykalina, Kirill Kiselev and Tatiana Zarubina
61-66
Alexander Vodyaho, Nataly Zhukova, Dmitry Kurapeev and Mikhail Lushnov
67-82
Anna Gavrilova, Olga Rebrova, Elena Nagaeva, Tatiana Shiryaeva, Valentina Peterkova and Ivan Dedov
83-88

Keyphrases

Artificial Neural Network, Big Data, Big Data Analytics, breast cancer, children, Clinical Decision Support System, clinical informatics, clinical text processing, data analysis2, Data Mining, deep learning, experiment design problems, Expert rules, expert systems, exponential growth model, Final Height, Formal Concept Analysis, Growth Hormone Deficiency, information, interval graphs, knowledge discovery, Laboratory information system (LIS), Laboratory researches, mathematical model, measurements processing and analyses, medical data, Medical information systems, medicine, metastases in lymph nodes, model driven approach for domain specific intelligent information system development, modeling framework, models semantic transformations, Mortality, Ontology, personalized medicine, prediction, primary metastases, Primary Tumor, Radiological, Regression, Secondary metastases, service, software, subgroup analysis, subgroup discovery, survival, text mining.