Accepted Papers

The workshop received 42 submissions in total. The manuscripts directly submitted to the workshop were reviewed by around four (3.89) reviewers on average (min: 2; max: 7; median: 3, SD: 1.45). The PC members and the Chair selected 16 full papers and 12 short papers from them. The acceptance rate for full papers is 38%.

• Sharifa Mohamed, Bingquan Huang, and Mohand-Tahar Kechadi, Prediction of NB-UVB Phototherapy Treatment Response of Psoriasis Patients using Data mining

• Wenpeng Guo, Biomedical Analysis of HbA1c based on Microfluidic Chips

• Ignacio Tripodi, Kevin Cohen, and Lawrence Hunter, A Semantic Knowledge-Base Approach to Drug-Drug Interaction Discovery

• Yuichi Yaguchi, Mai Omura, and Takashi Okumura, Geometrical mapping of diseases with calculated similarity measure

• Shiyi Wu, Xiangmin Xu, Lin Shu, and Bin Hu, Estimation of Valence of Emotion Using Two Channels of Frontal EEG

• Lucas Emanuel Silva e Oliveira, Caroline Pilatti Gebeluca, Adalniza Moura Pucca da Silva, Sadid Al Hasan, Oladimeji Farri, and Claudia Maria Cabral Moro, A Statistics and UMLS-based Tool for Assisted Semantic Annotation of Brazilian Clinical Documents

• Phawis Thammasorn, Landon Wootton, Eric Ford, Wanpracha A. Chaovalitwonse, and Matthew Nyflot, Deep Convolutional Triplet Network for Quantitative Medical Image Analysis with Comparative Case Study of Gamma Image Classification.

• Eva Lee, Andriy Shapoval, and Zixing Wang, Inpatient Bed Management to Improve Care Delivery

• Ravi Shanker, Rahul Singh, and Mahua Bhattacharya, Segmentation of Tumor and Edema Based on K-mean clustering and Hierarchical Centroid Shape Descriptor

• Mukta Sharma, Rahul Singh, and Mahua Bhattacharya, Classification of breast tumors as benign and malignant using textural feature descriptor

• Mingzhe Jiang, Riitta Mieronkoski, Amir M. Rahmani, Nora Hagelberg, Sanna Salanterä, and Pasi Liljeberg, Ultra-Short-Term Analysis of Heart Rate Variability for Real-time Acute Pain Monitoring with Wearable Electronics

• Xuemeng Li, Jinghui Yu, Mei Li, and Dongsheng Zhao, Discover High-risk Factor Combinations Using Bayesian Network from National Screening Data in China

• Hailiang Long, Zhenghao Guo, Zhenyu Liu, Hanshu Cai, Xia Wu, and Bin Hu, Detecting Depression in Speech: Comparison and Combination between Different Speech Types

• Aditya patel, Izzatbir Singh, Landon Brand, and Roheet Rao, A Weighted Similarity Measure Approach to Predict Intensive Care Unit Transfers

• Gongbo Zhang, Moumita Bhattacharya, Heng-Yi Wu, Pengyuan Li, Lang Li, and Hagit Shatkay, Identifying Articles Relevant to Drug-Drug Interaction: Addressing Class Imbalance

• Vivek Datla, Sadid A. Hasan, Ashequl Qadir, Kathy Lee, Yuan Ling, Joey Liu, and Oladimeji Farri, Automated Clinical Diagnosis: The Role of Content in Various Sections of a Clinical Document

• Guang Zheng, Functional Protein Networks Underlying the Comorbidity of Gout and Hyperuricemia

• Ningzhou Zeng, GQ Zhang, Xiaojin Li, and Licong Cui, Evaluation of Relational and NoSQL Approaches for Patient Cohort Identification from Heterogeneous Data Sources

• Lu Ren, Xiaofei Zhang, Jingxia Wang, Ni Gong, and Siyuan Tang, Design of Hospital Beds Center Management Information System based on HIS

• Patrick McAllister, Anne Moorhead, Raymond Bond, and Huiru (Jane) Zheng, Automated Adjustment of Crowdsourced Calorie Estimations for Accurate Food Image Logging

• Eva Lee, Yuanbo Wang, Robert Davis, and Brent Egan, Designing a Low-Cost Adaptable and Personalized Remote Patient Monitoring System

• Sunhao Hu, Lu Lu, Xinbin Jin, Yinyin Jiang, Haowen Zheng, Qiufan Xu, Fangfang Cai, Yu Meng, and Changjiang Zhang, The Recommender System for a Cloud-Based Electronic Medical Record System for Regional Clinics and Health Centers in China

• Arnab Chattaraj, Arpita Das, and Mahua Bhattacharya, Mammographic Image Segmentation by Marker Controlled Watershed Algorithm

• Rayan Gargees, James Keller, and Mihail Popescu, Early Illness Recognition in Older Adults Using Transfer Learning

• Murali Krishna Pusala, Ryan G Benton, Vijay V Raghavan, and Raju Gottumukkala, Supervised Approach to Rank Predicted Links using Interestingness Measures

• Sumi Singh, Vijay Raghavan, and Wu Xu, Descriptor Based Protein Structure Representation using Triangular Spatial Relationships in 3-D

• Eric Rozier, Fraise: A Framework for Predicting Peak Postprandial Blood Glucose using Personalized Data-Driven Modeling

• Subrata Acharya, Alexander Mak, and Yuehan Yin, Towards the design of a Secure and Compliant Framework for OpenEMR