Accepted Papers

Deep Autoencoder Based Neural Networks for Coronary Heart Disease Risk Prediction
(Tsatsral Amarbayasgalan, Keun Ho Ryu, Jong Yun Lee and Kwang Rok Kim)

Patient Centric Data Integration for Improved Diagnosis and Risk Prediction
(Hanie Samimi, Anne Hee Hiong Ngu and Jelena Tesic)

Comparison of Approaches for Querying Chemical Compounds  
(Vojtech Sipek, Irena Holubova and Martin Svoboda)

Differential Diagnosis of Heart Disease in Emergency Departments Using Decision Tree and Medical Knowledge 
(Diyang Xue, Adam Frisch and Daqing He)

Training Set Expansion using Word Embeddings for Korean Medical Information Extraction
(Young-Min Kim)

An Architecture to Support Real-World Studies that Investigate the Autonomic Nervous System
(Danielle Groat, Ramkiran Gouripeddi, Randy Madsen, Yu Kuei Lin and Julio Facelli)

Towards Automated Hypothesis Testing in Neuroscience
(Daniel Garijo, Shobeir Fakhraei, Varun Ratnakar, Qifan Yang, Hanna Endrias, Yibo Ma, Regina Wang, Michael Bornstein, Joanna Bright, Yolanda Gil and Neda Jahanshad)

Intelligent Healthcare Data Management using Blockchain: Current Limitation and Future Research Agenda
(Alevtina Dubovitskaya, Scott Thiebes, Ali Sunyaev, Michael Ignaz Schumacher, Zhigang Xu and Fusheng Wang)