#	Title	Authors
	1	A self-attention based deep learning method for lesion attribute detection from CT reports	Yifan Peng, Ke Yan, Veit Sandfort, Ronald Summers and Zhiyong Lu
	2	Using Dual Networks for the Integration of Clinical and Biological Data.	Pietro Hiram Guzzi, University Magna Graecia of Catanzaro, Italy;Giuseppe Tradigo, University Magna Graecia of Catanzaro, Italy; and Pierangelo Veltri, University Magna Graecia of Catanzaro, Italy
	3	Motivational Design Techniques to Increase Adherence to a Telemonitoring Therapy A Study with Adolescent Pectus Patients	Robin De Croon, Alemitu Mequanint Bezabih, Jonas Geuens, Davina Wildemeersch, Dries Oeyen, Katrien Verbert and Vero Vanden Abeele
	4	Dyadic Lenses for the Motivational Design of mHealth: Bridging the Gap between Health Theory and App Design	Jonas Geuens, Luc Geurts, Kathrin Gerling, Robin De Croon and Vero Vanden Abeele
	5	Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks	Filipe Barata, Kevin Kipfer, Maurice Weber, Elgar Fleisch, Peter Tinschert and Tobias Kowatsch
	6	Identifying De Facto Prescription Norms in a Hospital Setting: A study with antibiotics	Syeda Momina Tabish, Philip Polgreen, Alberto Maria Segre and Padmini Srinivasan
	7	Collecting Digital Biomarkers on Cognitive Health Through Computer Vision and Gameplay: an Image Processing Toolkit for Card Games	Karsten Gielis, Joren Kennis, Christophe De Dobbeleer, Steven Puttemans and Vero Vanden Abeele
	8	Analyzing Patient Decision Making in Online Health Communities	Mingda Li, Jinhe Shi and Yi Chen
	9	Nocturnal Cough and Snore Detection in Noisy Environments Using Smartphone-Microphones	Thomas Brunschwiler
	10	Predicting Prevalence of Respiratory Disease with Multi-task Gaussian Process: A Case Study in East China	Yuan Zhang, Chinese PLA General Hospital, China;Peiyao Li, Chinese PLA General Hospital, China;Xiaoyan Zhao, Chinese PLA General Hospital, China;Eryu Xia, IBM Research - China, China;Jing Mei, IBM Research - China, China;Zhicheng Yang, University of California, Davis, China;Yong Qin, IBM Research - China, China;Shaochun Li, IBM Research - China, China; and Zhengbo Zhang, Chinese PLA General Hospital, China
	11	Deep Inverse Reinforcement Learning for Sepsis Treatment	Chao Yu, Dalian University of Technology, China;Guoqi Ren, Dalian University of Technology, China; and Jiming Liu, Hong Kong Baptist University, China
	12	Deep Learning Based Lesion Detection For Mammograms	Zhenjie Cao, Ping An Institute of Intelligence , United States;Zhicheng Yang, University of California, Davis , United States;Xinya Liu, University of California, Los Angeles, United States;Yanbo Zhang, Ping An Institute of Intelligence , United States;Shibin Wu, Ping An Technology, China;Ruei-Sung Lin, Ping An Institute of Intelligence, United States;Lingyun Huang, Ping An Technology, China;Mei Han, Ping An Institute of Intelligence, United States; and Jie Ma, Shenzhen Peoples Hospital , China
	13	The Role of Health Literacy on Credibility Judgment of Online Health Misinformation	Shijie Song, Nanjing University, China; Yuxiang Zhao, Nanjing University of Science and Technology, China; Xiaokang Song, Nanjing University, China; and Qinghua Zhu, Nanjing University, China
	14	Novel Algorithm for Identification and Differentiation of Shuffling from Walking	Nethra Ganesh Chigateri, The University of Auckland, New Zealand;Ngaire Kerse, The University of Auckland, New Zealand; and Bruce MacDonald, The University of Auckland, New Zealand
	15	Identity Verification and Management of Electronic Health Records with Blockchain Technology	Yiheng Liang, Bridgewater State University, United States
	16	Towards neural abstractive clinical trial text summarization with sequence to sequence models	Celia Cintas, IBM Research Africa, Kenya;William Ogallo, IBM Research Africa, Kenya;Aisha Walcott, IBM Research Africa, Kenya;Sekou Remy, IBM Research Africa, Kenya;Victor Akinwande, IBM Research Africa, Kenya; and Samuel Osebe, IBM Research Africa, Kenya
	17	Combining Resampling and Machine Learning to Improve Sleep-Wake Detection of Fitbit Wristbands	Zilu Liang, Kyoto University of Advanced Science, Japan; and Mario Alberto Chapa Martell, CAC Corporation, Japan
	18	Field Trial of Aspiration Pneumonia Predicion based on Electronic Medical Records	Masahiro Hayashitani, NEC, Japan
	19	Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering	Ziwei Fan, University of Illinois at Chicago, United States; Evan Burgun, CSCI Consulting Inc., United States; Titus Schleyer, Regenstrief Institute, United States; and Xia Ning, The Ohio State University, United States
	20	Robust Assessment of ECG Signal Quality for Wearable Devices	Yuanbo Shi, PLA General Hospital, China;Ning Han, PLA General Hospital, China;Peiyao Li, PLA General hospital, China;Zhicheng Yang, University of California, Davis, United States;Qian Yuan, Beijing Haisi Ruige Technology Co., Ltd., China;Yongshen Du, Beijing Haisi Ruige Technology Co., Ltd., China;Ke Lan, Beijing Haisi Ruige Technology Co., Ltd., China;Jiewen Zheng, Beijing Haisi Ruige Technology Co., Ltd., China;Desen Cao, PLA General Hospital, China; and Zhengbo Zhang, PLA General Hospital, China
	21	VR Application for Visual Field Measurement of Unilateral Spatial Neglect Patients Using Eye Tracking	Masashi Sugano, Osaka Prefecture University, Japan; Koudai Ogura, Osaka Prefecture University, Japan; Shinichi Takabatake, Osaka Prefecture University, Japan; Yasuo Naitoh, Osaka Prefecture University, Japan; and Kazuyo Nakaoka, Osaka Prefecture University, Japan
	22	An Open Dataset of Pediatric Activity and Energy Expediture and Deep Learning Approach for Analysis	Xiao Qu, Capital Institute of Pediatrics, China;Jianxin Wu, Capital Institute of Pediatrics, China;Ting Zhang, Capital Institute of Pediatrics, China; and Hongyan Guan, Capital Institute of Pediatrics, China
	23	Identifying Privacy Leakage from User-Generated Content in An Online Health Community--A deep learning approach	Yushan Zhu, Central University of Finance and Economics, China; Xing Tong, George Mason University, United States; and Xi Wang, Central University of Finance and Economics, China
	24	Effects Upon Postoperative Atrial Fibrillation Prediction of Varied Observation Time Windows	Yu Deng, Northwestern University, United States;Ethan M. I. Johnson, Northwestern University, United States;Kevin Yu, Northwestern University, United States;David S. Melnick, Northwestern University, United States;Sukhveer S. Sandhu, Northwestern University, United States;Mozziyar Etemadi, Northwestern University, United States; and Abel N. Kho, Northwestern University, United States
	25	Incorporating Intra-Operative Medication Information for Prediction of Post-Operative Atrial Fibrillation	Ethan M. I. Johnson, Northwestern University, United States; Kevin Yu, Northwestern University, United States; Yu Deng, Northwestern University, United States; David S. Melnick, Northwestern University, United States; Sukhveer S. Sandhu, Northwestern University, United States; Farhad Ghamsari, Northwestern University, United States; Mozziyar Etemadi, Northwestern University, United States; and Abel N. Kho, Northwestern University, United States
	26	A Method to Determine Angle Kappa via Automated Shape Recognition from Surgical Images	Sian Liu, Zhongshan Ophthalmic Center, Sun Yat-Sen University, China; Jingzhi Yu, Center for Health Information Partnerships, United States; Jing Zhuang, Zhongshan Ophthalmic Center, Sun Yat-Sen University, China; and Keming Yu, Zhongshan Ophthalmic Center, Sun Yat-Sen University, China
	27	HWProfile UI: facilitating the exploration of a patient centered risk model	Pierpaolo Tommasi, IBM Research Ireland, Ireland; Stephane Deparis, IBM Research Ireland, Ireland; and Alessandra Pascale, IBM Research Ireland, Ireland
	28	Accelerating Clinical Practice Guideline Implementation for Chronic Disease Management	Jing Li, IBM Research, China;Jing Mei, IBM Research, China; and Shaochun Li, IBM Research, China
	29	Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention	Enliang Xu, IBM Research, China;Shiwan Zhao, IBM Research, China;Jing Mei, IBM Research, China;Eryu Xia, IBM Research, China;Yiqin Yu, IBM Research, China; and Songfang Huang, IBM Research, China
	30	Predicting Hospital Readmission of Diabetics using Deep Forest	Pengwei HU, IBM, China;Shaochun Li, IBM, China;Yu-an Huang, The Hong Kong Polytechnic University, China; and Lun HU, Wuhan University of Technology, China