Paper session 1
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EHR Mining
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June 5th 13:00 – 15:00 |
| A Process Mining and Text Analysis Approach to Analyse the Extent of Polypharmacy in Medical Prescribing
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Philip Weber*, University of Birmingham; Ruth Backman, University of Birmingham; Ian Litchfield, University of Birmingham; Mark Lee, University of Birmingham
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| A Data Quality Framework for Process Mining of Electronic Health Record Data
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Frank Fox*, University of Leeds; Vishal Aggarwal, University of Leeds; Helen Whelton, University College Cork; Owen Johnson, University of Leeds
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| Exploiting OHC Data with Tensor Decomposition for Off-label Drug Use Detection
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Mengnan Zhao*, Drexel University; Christopher C. Yang, Drexel University
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| Process Mining the Trauma Resuscitation Patient Cohorts
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Sen Yang*, Rutgers University; Fei Tao, Rutgers University; Jingyuan Li, Rutgers University; Dawei Wang, Rutgers University; Shuhong Chen, Rutgers University; Omar Z Ahmed, Children's National Medical Center; Ivan Marsic, Rutgers University; Randall S. Burd, Children's National Medical Center
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| Intention Mining in Medical Process: A Case Study in Trauma Resuscitation
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Sen Yang*, Rutgers University; Weiqing Ni, Rutgers University; Xin Dong, Rutgers University; Shuhong Chen, Rutgers University; Richard A Farneth, Children's National Medical Center; Aleksandra Sarcevic, Drexel University; Ivan Marsic, Rutgers University; Randall S. Burd, Children's National Medical Center
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| Using Clinical Narratives and Structured Data To Identify Distant Recurrences in Breast Cancer
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Zexian Zeng*,Northwestern University at Chicago; Ankita Roy, Northwestern University at Chicago; Xiaoyu Li, Social and Behavioral Sciences Harvard T.H. Chan School of Public Health; Sasa Espino, Northwestern University at Chicago; Susan Clare, Northwestern University at Chicago; Seema Khan, Northwestern University at Chicago; Yuan Luo, Northwestern University, IL
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Paper session 2
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| Understanding Patients, Understanding Providers |
June 5th 13:00 – 15:00 |
| Gamification and Serious Games in a Healthcare Informatics Context
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Robin De Croon*, KU Leuven; Davina Wildemeersch, UZA; Joris Wille, BeWell Innovations; Katrien Verbert, KU Leuven; Vero Vanden Abeele, KU Leuven
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| Towards Precision Behavioral Medicine with IoT: Iterative Design and Optimization of a Self-Management Tool for Type 1 Diabetes
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Peng Zhang*, Vanderbilt University; Douglas Schmidt, Vanderbilt University; Jules White, Vanderbilt University; Shelagh Mulvaney, Vanderbilt University
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| A Study Using the In-depth Interview Approach to Understand Current Practices in the Management of Personal Health Information and Privacy Compliance
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Maha Aljohani*, Dalhousie Univeristy ; James Blustein, Dalhousie Univeristy
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| Towards a Method for Enterprise Mobility Management (EMM) in Healthcare
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Mike Krey*, ZHAW
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Defining the Functional Requirements for the NFC-Based Medication Administration and Communication System
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Maali Alabdulhafith*, Dalhousie University; Srinivas Sampalli, Dalhousie University
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| Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data
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Sudip Vhaduri*, University of Notre Dame; Christian Poellabauer, University of Notre Dame
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Paper session 3
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| Applied Data Science |
June 5th 15:30 – 17:30 |
| Camera-Based Peripheral Edema Measurement Using Machine Learning
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Zoran kostic*, Columbia University; Ruth Masterson Creber, Columbia University; Junbo Chen, Columbia University; Tingyu Mao, Columbia University
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| Quantifying Subjective Well-being Using Trends in Weekend Activity
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Louis Faust*, University of Notre Dame; David Hachen, University of Notre Dame; Omar Lizardo, University of Notre Dame; Nitesh Chawla, Notre Dame
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| A Multilevel Predictive Model for Detecting Social Network Users with Depression
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Akkapon Wongkoblap*, King's College London; Miguel A. Vadillo, Universidad Autónoma de Madrid; Vasa Curcin, King's College
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| Variable Selection for Chronic Disease Outcome Prediction Using a Causal Inference Technique: A Preliminary Study |
Yiye Zhang*, Weill Cornell Medicine; John Richard Lee, Weill Cornell Medicine; Bilal Chughtai, Weill Cornell Medicine; Rema Padman, Carnegie Mellon University
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| Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care
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Oliver Ren, MIT; Alistair Johnson, MIT; Matthieu Komorowski, Imperial College London; Jerome Aboab, MIT; Zach Shahn, IBM; Daby Sow, IBM; Roger Mark, MIT; Li-wei Lehman*, MIT
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| Machine Learning Methods for Disease Prediction with Claims Data
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Tanner Christensen, Brigham Young
University; David Kartchner*, Brigham Young University; Seth Glazier, Brigham Young University; Jeffrey Humpherys, Brigham Young University |
| Paper session 4 |
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| Multimethod analysis of medical data, images, and sensor data |
June 6th 10:30 – 12:30 |
| Explaining Therapy Predictions with Layer-wise Relevance Propagation in Neural Networks
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Yinchong Yang*, Siemens AG, LMU München; Volker Tresp, Siemens AG and Ludwig Maximilian University of Munich ; Marius Wunderle, University Hospital Erlangen; Peter Fasching, Department of Gynecology and Obstetrics, University Hospital Erlangen
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| Learning a Dynamic-based Representation for Multivariate Biomarker Time Series Classifications
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Xi Hang Cao*, Temple University; Chao Han, Temple University; Zoran Obradovic, Temple University
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| Motion Sensor-Based Assessment on Fall Risk and Parkinson’s Disease Severity: A Deep Multi-source Multi-task Learning (DMML) Approach
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Shuo Yu*, University of Arizona; Hsinchun Chen, The University of Arizona; Randall Brown, Southern Arizona VA Health Care System; Scott Sherman, University of Arizona |
| Human Action Understanding and Movement Error Identification for the Treatment of Patients with Parkinson’s Disease
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Wenchuan Wei*, ECE Department, UC San Diego; Carter McElroy, Department of Rehabilitation Services, UC San Diego; Sujit Dey, University of California, San Diego
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| A Dual-Tree Complex Wavelet Transform based Convolutional Neural Network for Human Thyroid Medical Image Segmentation
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Hongya Lu*, Binghamton University; Haifeng Wang, Binghamton University; Qianqian Zhang, Binghamton University; Daehan Won, Binghamton University; Sang Won Yoon, Binghamton University;
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| Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition
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Qianqian Zhang*, Binghamton University; Haifeng Wang, Binghamton University; Hongya Lu, Binghamton University; Daehan Won, Binghamton University; Sang Won Yoon, Binghamton University
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| Paper session 5 |
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| Text Analytics |
June 6th 15:30 – 17:30 |
| Virtual Patient Model: An Approach for Generating Synthetic Healthcare Time Series Data
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Rittika Shamsuddin*, University of Texas at Dallas; Barbara Maweu, University of Texas Dallas; Balakrishnan Prabhakaran, University of Texas at Dallas; Ming Li, California State University |
| Early Diagnosis and Prediction of Sepsis Shock byCombining Static and Dynamic Information usingConvolutional-LSTM
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Chen Lin*, North Carolina State University; Yuan Zhang, North Carolina State University; Julie Ivy, North Carolina State University; Muge Capan, Drexel University; Ryan Arnold, Drexel University; Jeanne M. Huddleston, Mayo Clinic; Min Chi, North Carolina State University
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| Recent Temporal Pattern Mining for Septic Shock Early Prediction
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Farzaneh Khoshnevisan*, North Carolina State University; Julie Ivy, North Carolina State University; Min Chi, North Carolina State University; Muge Capan, Christiana Care Health System; Ryan Arnold, Christiana Care Health System; Jeanne Huddleston, Mayo Clinic Rochester
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| Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models
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Munif Ishad Mujib*, Drexel University; Christopher C. Yang, Drexel University; Mengnan Zhao, Drexel University; Jake Ryland Williams, Drexel University.
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| A Publication-based Popularity Index (PPI) for Healthcare Dataset Ranking |
Jingyi Shi, University of North Carolina at Charlotte; Mingna Zheng, University of North Carolina at Charlotte; Lixia Yao, Mayo Clinic; Yaorong Ge*, University of North Carolina at Charlotte |
| Public Health Surveillance with Incomplete Data -- Spatio-Temporal Imputation for Inferring Disease Dynamics
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Qi Tan*, HKBU; Jiming Liu, Hong Kong Baptist University; Benyun Shi, School of Cyberspace, Hangzhou Dianzi University; Yang Liu, Hong Kong Baptist University
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| Paper session 6 |
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| Health Informatics for Vulnerable Populations |
June 7th 10:00 – 12:00 |
| Integrating Patient-Generated Observations of Daily Living into Pediatric Cancer Care: A Formative User Interface Design Study |
Udaya Lakshmi*, Georgia Institute of Technology; Matthew Hong, Georgia Institute of Technology; Lauren Wilcox, Georgia Institute of Technology
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| zCare: Designing a Mobile Application to Support Caregivers of Patients with Congenital Zika Syndrome
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Niloofar Kalantari, George Mason University; Vivian Motti*, George Mason University
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| Analyzing Abusive Text Messages to Detect Digital Dating Abuse
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Tania Roy*, Clemson University; Jerome McClendon, Clemson University; Larry Hodges, Clemson University
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| Barriers to the access and use of Health Information by individuals with Intellectual and Developmental Disability IDD: A Review of the Literature
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Muneef Alshammari*, University of Limerick
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| Virtual Reality Course Based on the SAT Counseling Method for Self-guided Mental Healthcare
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Tatsuya Ito, University of Tsukuba; Takeshi Kamita, University of Tsukuba; Atsuko Matsumoto, University of Tsukuba; Tsunetsugu Munakata, University of Tsukuba; Tomoo Inoue*, University of Tsukuba, JP
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Paper session 7 |
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| Software and Algorithms |
June 7th 12:15 – 14:00 |
| A Novel Kinect-based Algorithm for Inferring the Position of the Lower Body Joints Using Human Gait Pattern
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Sagda Osman*, Michigan Technological Univeristy; Guy Hembroff, Michigan Technological Univeristy; Marocs Matos, Bahiana School of Medicine and Public Health
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| Study of online health discussion fora for the detection of medication misuses
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Elise Bigeard*, CNRS, Université de Bordeaux; Frantz Thiessard, Université de Bordeaux; Natalia Grabar, CNRS
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| Electronic system for chaotic time series prediction associated to human disease
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Esteban Tlelo-Cuautle*, INAOE; Ana Dalia Panoi-Azucena, INAOE; Sheldon Tan, University of California Riverside
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| Lessons Learned in the Development of a Computable Phenotype for Response in Myeloproliferative Neoplasms
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Evan Sholle*, Weill Cornell Medicine; Thomas Campion, "Weill Cornell Medicine, NY"; Spencer Krichevsky, Weill Cornell Medicine; Claudia Sosner, Weill Cornell Medicine
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| A Real-Time Software for the Acquisition of Photoplethysmography Signal using Two Regions of Interest Simultaneously
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Pedro Henrique de Brito Souza*, Universidade de Brasília; Israel Machado Brito Souza, Pontifícia Universidade Católica de Goiás; Tharcis Pereira Sacramento, Pontifícia Universidade Católica de Goiás; Patrícia Candida de Matos Lima, Pontifícia Universidade Católica de Goiás; Priscila Valverde de Oliveira Vitorino, Pontifícia Universidade Católica de Goiás ; Talles Barbosa, PUC Goias; Adson Rocha, Universidade de Brasília
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