Paper Session 1 | |||
Time | Deep Learning for Analytics | Jun 11 10:30 - 12:00 | |
10:30-10:50 | Time-aware Adversarial Networks for Adapting Disease Progression Modeling | Yuan Zhang*, North Carolina State University, United States;Xi Yang, North Carolina State University, United States;Julie Ivy, North Carolina State University, United States; and Min Chi, North Carolina State University, United States | |
10:50-11:10 | Predicting the outbreak of the hand-foot-mouth diseases in China using recurrent neural network | Wenxiao Jia*, Ping An Health Technology, China;Xiang Li, Ping An Health Technology, China;Kewei Tan, Ping An Health Technology, China; and Guotong Xie, Ping An Health Technology, China | |
11:10-11:30 | CT-To-MR Conditional Generative Adversarial Networks for Ischmeic Stroke Lesion Segmentation | Jonathan Rubin*, Philips Research North America, United States; and S. Mazdak Abulnaga, MIT, United States | |
11:30-11:40 | Learning Deep Representations from Clinical Data for Chronic Kidney Disease | Duc Thanh Anh Luong, University at Buffalo, United States; and Varun Chandola*, University at Buffalo, United States | |
11:40-11:50 | Categorical EHR Imputation with Generative Adversarial Nets | Yinchong Yang*, Siemens AG, Germany;Zhiliang Wu, LMU Munich, Germany;Volker Tresp, Siemens AG, Germany; and Peter Fasching, University Clinics Erlangen, Germany | |
Paper Session 2 | |||
Time | Modeling and Prediction | Jun 11 13:30 - 15:00 | |
13:30-13:50 | Weight Loss Prediction in Social-Temporal Context | Zhiwei Wang*, Michigan State University, United States;Xiaorui Liu, Michigan State University, United States;Jiliang Tang, Michigan State University, United States; and Dawei Yin, JD.com, China | |
13:50-14:10 | Towards Device-Agnostic Mobile Cough Detection with Convolutional Neural Networks | Filipe Barata*, ETH Zurich, Switzerland; Kevin Kipfer, ETH Zurich, Switzerland; Maurice Weber, ETH Zurich, Switzerland; Peter Tinschert, University of St. Gallen, Switzerland; Elgar Fleisch, ETH Zurich and University of St. Gallen, Switzerland; and Tobias Kowatsch, University of St. Gallen, Switzerland | |
14:10-14:30 | Comparing strategies to generate experience-based clinical process recommendations that leverage similarity to historic data | Steven Mertens*, Ghent University, Belgium;Frederik Gailly, Ghent University, Belgium;Diederik Van Sassenbroeck, AZ Maria Middelares, Belgium; and Geert Poels, Ghent University, Belgium | |
14:30-14:40 | Nocturnal Cough and Snore Detection in Noisy Environments Using Smartphone-Microphones | Sudip Vhaduri, University of Notre Dame, United States; Theodore Van Kessel, IBM Watson Research, United States; Bongjun Ko, IBM Watson Research, United States; David Wood, IBM Watson Research, United States; Shiqiang Wang, IBM Watson Research, United States; and Thomas Brunschwiler*, IBM Research Zurich, Switzerland | |
14:40-14:50 | A Machine Learning Model to Characterize Chronic Kidney Disease with Metabolomics Data | Yang Yang, The First Affiliated Hospital Zhengzhou University, China;Wei-Wei Tong, Gennlife (Beijing) Co. Ltd., China; and Zhangsuo Liu, The First Affiliated Hospital Zhengzhou University, China | |
Paper Session 3 | |||
Time | Clinical Data Analytics | Jun 11 15:30 - 17:00 | |
15:30-15:50 | Identifying KDIGO Trajectory Phenotypes Associated with Increased Inpatient Mortality | Taylor Smith, University of Kentucky, United States;Victor Ortiz-Soriano, University of Kentucky, United States;Javier Neyra, University of Kentucky, United States; and Jin Chen*, University of Kentucky, United States | |
15:50-16:10 | Prediction of Insomnia using Spindle Temporal Features in EEG Data | Hao Yu, East China Normal University, China;Jin Chen*, University of Kentucky, United States;Shiqiang Tao, University of Texas Health Science Center at Houston, United States;Taylor Smith, University of Kentucky, United States;Guo-Qiang Zhang, University of Texas Health Science Center at Houston, United States;Xiaojin Li, Case Western Reserve University, United States;Xiaoqian Jiang, University of Texas Health Science Center at Houston, United States;Xiaoling Wang, East China Normal University, China;Xinyu Wang, East China Normal University, China; and Ying Zhang, East China Normal University, China | |
16:10-16:30 | Estimating Individualized Daily Self-Reported Affect with Wearable Sensors | Shen Yan*, University of Southern California, Information Sciences Institute, United States; Homa Hosseinmardi, University of Southern California, Information Sciences Institute, United States; Hsien-Te Kao, University of Southern California, Information Sciences Institute, United States; Shrikanth Narayanan, University of Southern California, Information Sciences Institute, United States; Kristina Lerman, University of Southern California, Information Sciences Institute, United States; and Emilio Ferrara, University of Southern California, Information Sciences Institute, United States | |
16:30-16:40 | Identifying De Facto Prescription Norms in a Hospital Setting: A study with antibiotics | Syeda Momina Tabish*, University of Iowa, United States;Philip Polgreen, University of Iowa, United States;Alberto Segre, University of Iowa, United States; and Padmini Srinivasan, University of Iowa, United States | |
16:40-16:50 | Pattern-based Extraction of Disease Drug Combination Knowledge from Biomedical Literature | Jing Liu, University of Kentucky, United States; Rashmie Abeysinghe, University of Kentucky, United States; Fengbo Zheng, University of Kentucky, United States; and Licong Cui*, University of Texas Health Science Center at Houston, United States | |
Paper Session 4 | |||
Time | Interactive Systems for Health Management | Jun 12 10:30 - 12:00 | |
10:30-10:50 | Sneaking Physical Exercise into Sedentary Work Life: Design Explorations of Ambient Reminders in Opportune Moments | Elke Beck, OFFIS Institute for Information Technology, Germany;Kai von Holdt, OFFIS Institute for Information Technology, Germany;Jochen Meyer*, OFFIS Institute for Information Technology, Germany; and Susanne Boll, University of Oldenburg, Germany | |
10:50-11:10 | Rich Interactions in Virtual Reality Exposure Therapy: A Pilot-Study evaluating a System for Presentation Training | Marius Koller*, Heilbronn University, Germany;Philip Schäfer, Heilbronn University, Germany;Daniel Lochner, Heilbronn University, Germany; and Gerrit Meixner, Heilbronn University, Germany | |
11:10-11:30 | Dyadic Lenses for the Motivational Design of mHealth: Bridging the Gap between Health Theory and App Design | Jonas Geuens*, e-Media Research Lab, KU Leuven, Belgium;Luc Geurts, e-Media Research Lab, KU Leuven, Belgium;Kathrin Gerling, e-Media Research Lab, KU Leuven, Belgium;Robin De Croon, e-Media Research Lab, KU Leuven, Belgium; and Vero Vanden Abeele, e-Media Research Lab, KU Leuven, Belgium | |
11:30-11:40 | Augmented Reality Exposure Therapy with Tactile Feedback for Small Animal Phobia | Maximilian Kurscheidt, Heilbronn University, Germany;Vitaliy Ostapchuck, Heilbronn University, Germany;Friederike Sottek, Heilbronn University, Germany;Sebastian Felix Rauh, Heilbronn University, Germany; and Gerrit Meixner, Heilbronn University, Germany | |
11:40-11:50 | Toy or tool? Activity trackers for the assessment of physical activity in the wild | Jochen Meyer*, OFFIS Institute for Information Technology, Germany; Kai von Holdt, OFFIS Institute for Information Technology, Germany; Elke Beck, OFFIS Institute for Information Technology, Germany; Mirko Brandes, Leibniz Institute for Prevention Research and Epidemiology, Germany; Claudia Pischke, University of Düsseldorf, Germany; and Claudia Voelcker-Rehage, Technical University of Chemnitz, Germany | |
Paper Session 5 | |||
Time | Human-Centered AI | Jun 12 13:30 - 15:00 | |
13:30-13:50 | Proactive advising: a machine learning driven approach to vaccine hesitancy | Andrew Bell*, Nova School of Business and Economics, Portugal; Alexander Rich, New York University, United States; Melisande Teng, CentraleSupélec/ENS Paris-Saclay, France; Tin Orešković, IBM, United States; Nuno Bras, Universidade Autónoma de Lisboa, Portugal; Lénia Mestrinho, Nova School of Business and Economics, Portugal; Srdan Golubovic, Croatian National Institute of Public Health, Croatia; Ivan Pristas, Croatian National Institute of Public Health, Croatia; and Leid Zejnilovic, Nova School of Business and Economics, Portugal | |
13:50-14:10 | Collecting Digital Biomarkers on Cognitive Health Through Computer Vision and Gameplay: an Image Processing Toolkit for Card Games | Karsten Gielis*, e-Media Research Lab - KU Leuven, Belgium; Joren Kennes, KU Leuven, Belgium; Christophe De Dobbeleer, KU Leuven, Belgium; Steven Puttemans, EAVISE - KU Leuven, Belgium; and Vero Vanden Abeele, e-Media Research Lab - KU Leuven, Belgium | |
14:10-14:30 | Identifying Important Risk Factors Associated with Vehicle Injuries using Driving Behavior Data and Predictive Analytics | Michal Monselise, Drexel University, United States; Ou Stella Liang*, Drexel University, United States; and Christopher Yang, Drexel University, United States | |
14:30-14:40 | AN IMAGE CONTRAST ENHANCEMENT ALGORITHM IN THE WAVELET DOMAIN WITH VISUAL FEATURE FOR VISUALLY IMPAIRED | Fahao Qiao, Michigan Technological UNiversity, United States; and Jinshan Tang*, Michigan Technological UNiversity, United States | |
14:40-14:50 | Early Detecting In-Hospital Cardiac Arrest Based on Machine Learning on Imbalanced Data | Hsiao-Ko Chang, National Taiwan University, Taiwan; Cheng-Tse Wu, National Taiwan University, Taiwan; Ji-Han Liu, National Taiwan University, Taiwan; Wee Shin Lim*, National Taiwan University, Taiwan; Hui-Chih Wang, National Taiwan University Hospital, Taiwan; Shu-I Chiu, National Taiwan University, Taiwan; and Jyh-Shing Roger Jang, National Taiwan University, Taiwan | |
Paper Session 6 | |||
Time | Informatics Systems | Jun 12 15:30 - 17:00 | |
15:30-15:50 | Obstetric Patients with Repetitious Hospital Location Transfers Have Prolonged Stays | Cheng Gao, Vanderbilt University Medical Center, United States;Abel Kho, Northwestern University, United States;Sarah Osmundson, Vanderbilt University Medical Center, United States;Bradley Malin, Vanderbilt University, United States; and You Chen*, Vanderbilt University Medical Center, United States | |
15:50-16:10 | A Camera-Based Pulse Transit Time Estimation Approach Towards Non-Intrusive Blood Pressure Monitoring | Omkar Patil, Binghamton University, State University of New York, United States;Wei Wang, University at Buffalo, State University of New York, United States;Yang Gao*, University at Buffalo, State University of New York, United States; and Zhanpeng Jin, University at Buffalo, State University of New York, United States | |
16:10-16:30 | GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement | Gongbo Liang, University of Kentucky, United States; Sajjad Fouladvand, University of Kentucky, United States; Jie Zhang, University of Kentucky, United States; Michael Brooks, University of Kentucky, United States; Nathan Jacobs, University of Kentucky, United States; and Jin Chen*, University of Kentucky, United States | |
16:30-16:40 | Family-HealthVault: A Group Caring and PHI Sharing Framework among Family Members | Huanmei Wu*, IUPUI, United States; Parth Kothiya, IUPUI, United States; Aamir khan, IUPUI, United States; and Jiannan Liu, IUPUI, United States | |
16:40-16:50 | Discovering and Analyzing Trend-Event Patterns on Clinical Data | Matteo Mantovani*, University of Verona, Italy;Carlo Combi, University of Verona, Italy; and Matteo Zeggiotti, University of Verona, Italy | |
Paper Session 7 | |||
Time | Biomedical/Clinical Text and Concepts | Jun 13 10:30 - 12:00 | |
10:30-10:50 | BioSentVec: creating sentence embeddings for biomedical texts | Qingyu Chen, NIH, United States;Yifan Peng, NIH, United States; and Zhiyong Lu*, NIH, United States | |
10:50-11:10 | Long distance entity relation extraction with article structure embedding and applied to mining medical knowledge | Yucong Lin*, Tsinghua University, China; Cheng Ma, University of Michigan, United States; Daiqi Gao, University of North Carolina at Chapel Hill, United States; Zihao Fan, UC Berkeley, United States; Zijie Cheng, Tsinghua University, China; Zheyu Wang, University of Southern California, United States; and Sheng Yu, Tsinghua University, China | |
11:10-11:30 | A Deep Learning Approach to Predict Neonatal Encephalopathy from Electronic Health Records | Cheng Gao, Vanderbilt University Medical Center, United States;Chao Yan, Vanderbilt University, United States;Sarah Osmundson, Vanderbilt University Medical Center, United States;Bradley Malin, Vanderbilt University Medical Center, United States; and You Chen*, Vanderbilt University Medical Center, United States | |
11:30-11:40 | Mining Biomedical Data for Hidden Relationship Discovery | Sirisha Dharmavaram*, University of North Texas, United States;Arshad Shaik, University of North Texas, United States; and Wei Jin, University of North Texas, United States | |
11:40-11:50 | Analyzing Patient Decision Making in Online Health Communities | Mingda Li, New Jersey Institute of Technology, United States;Jinhe Shi*, New Jersey Institute of Technology, United States; and Yi Chen, New Jersey Institute of Technology, United States | |
Paper Session 8 | |||
Time | Blockchain & Emerging Technology | Jun 13 10:30 - 12:00 | |
10:30-10:50 | Enabling Care Continuity using a Digital Health Wallet | Samuel Osebe*, IBM Research, Kenya;Charles Wachira, IBM Research, Kenya;Fiona Matu, IBM Research, Kenya;Nelson Bore, IBM Research, Kenya;David Kaguma, IBM Research, Kenya;Juliet Mutahi, IBM Research, Kenya;William Ogallo, IBM Research, Kenya;Celia Cintas, IBM Research, Kenya;Sekou Remy, IBM Research, Kenya;Aisha Walcott, IBM Research, Kenya; and Komminist Weldemariam, IBM Research, Kenya | |
10:50-11:10 | A Blockchain Framework for Ensuring Data Quality in Multi-Organizational Clinical Trials | Olivia Choudhury*, IBM Research, United States;Issa Sylla, IBM Research, United States;Noor Fairoza, IBM Research, United States; and Amar Das, IBM Research, United States | |
11:10-11:30 | Motivational Design Techniques to Increase Adherence to a Telemonitoring Therapy A Study with Adolescent Pectus Patients | Robin De Croon*, KU Leuven, Belgium;Alemitu Mequanint Bezabih, KU Leuven, Belgium;Jonas Geuens, KU Leuven, Belgium;Davina Wildemeersch, Antwerp University Hospital, Belgium;Dries Oeyen, BeWell Innovations, Belgium;Katrien Verbert, KU Leuven, Belgium; and Vero Vanden Abeele, KU Leuven, Belgium | |
11:30-11:40 | Design and Evaluation of a Healthcare Management Terminology Mobile Learning Application | Yi-Jing Li, National Taiwan University, Taiwan; Li-Hui Lee, National Taipei University of Nursing and Health Sciences, Taiwan; Yu-Ting Cheng, National Taipei University of Nursing and Health Sciences, Taiwan; and Yang-Yu Ou*, National Taipei University of Nursing and Health Sciences, Taiwan | |
Paper Session 9 | |||
Time | Deep Learning for Diagnostics | Jun 13 10:30 - 12:00 | |
10:30-10:50 | Center of Mass Estimation for Balance Evaluation Using Convolutional Neural Networks | Wenchuan Wei*, University of California, San Diego, United States; and Sujit Dey, University of California, San Diego, United States | |
10:50-11:10 | Multimodal Attention Network for Trauma Activity Recognition from Spoken Language and Environmental Sound | Yue Gu, Rutgers University, United States;Ruiyu Zhang, Rutgers University, United States;Xinwei Zhao*, Rutgers University, United States;Shuhong Chen, Rutgers University, United States;Jalal Abdulbaqi, Rutgers University, United States;Ivan Marsic, Rutgers University, United States;Megan Cheng, Children's National Medical Center, United States; and Randall Burd, Children's National Medical Center, United States | |
11:10-11:30 | A self-attention based deep learning method for lesion attribute detection from CT reports | Yifan Peng, National Institutes of Health, United States;Ke Yan, National Institutes of Health, United States;Veit Sandfort, National Institutes of Health, United States;Ronald Summers, National Institutes of Health, United States; and Zhiyong Lu*, National Institutes of Health, United States | |
11:30-11:40 | Insight Ease: A System for Automated Data-driven Healthcare Insight Generation | Yuan Zhang, Chinese PLA General Hospital, China;Eryu Xia, IBM Research - China, China;Bibo Hao*, IBM Research - China, China;Jing Mei, IBM Research - China, China;Yong Qin, IBM Research - China, China;Shaochun Li, IBM Research - China, China;Wen Sun, IBM Research - China, China;Zhengbo Zhang, Chinese PLA General Hospital, China;Xin Du, Beijing Anzhen Hospital, China;Changsheng Ma, Beijing Anzhen Hospital, China; and Jianzeng Dong, Beijing Anzhen Hospital, China |