Paper Sessions

Paper session 1
EHR Mining

June 5th 13:00 – 15:00
A Process Mining and Text Analysis Approach to Analyse the Extent of Polypharmacy in Medical Prescribing Philip Weber*, University of Birmingham; Ruth Backman, University of Birmingham; Ian Litchfield, University of Birmingham; Mark Lee, University of Birmingham
A Data Quality Framework for Process Mining of Electronic Health Record Data Frank Fox*, University of Leeds; Vishal Aggarwal, University of Leeds; Helen Whelton, University College Cork; Owen Johnson, University of Leeds
Exploiting OHC Data with Tensor Decomposition for Off-label Drug Use Detection Mengnan Zhao*, Drexel University; Christopher C. Yang, Drexel University
Process Mining the Trauma Resuscitation Patient Cohorts 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
Intention Mining in Medical Process: A Case Study in Trauma Resuscitation 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
Using Clinical Narratives and Structured Data To Identify Distant Recurrences in Breast Cancer 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
Paper session 2
Understanding Patients, Understanding Providers June 5th 13:00 – 15:00
Gamification and Serious Games in a Healthcare Informatics Context Robin De Croon*, KU Leuven; Davina Wildemeersch, UZA; Joris Wille, BeWell Innovations; Katrien Verbert, KU Leuven; Vero Vanden Abeele, KU Leuven
Towards Precision Behavioral Medicine with IoT: Iterative Design and Optimization of a Self-Management Tool for Type 1 Diabetes Peng Zhang*, Vanderbilt University; Douglas Schmidt, Vanderbilt University; Jules White, Vanderbilt University; Shelagh Mulvaney, Vanderbilt University
A Study Using the In-depth Interview Approach to Understand Current Practices in the Management of Personal Health Information and Privacy Compliance Maha Aljohani*, Dalhousie Univeristy ; James Blustein, Dalhousie Univeristy
Towards a Method for Enterprise Mobility Management (EMM) in Healthcare Mike Krey*, ZHAW
Defining the Functional Requirements for the NFC-Based Medication Administration and Communication System Maali Alabdulhafith*, Dalhousie University; Srinivas Sampalli, Dalhousie University
Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data Sudip Vhaduri*, University of Notre Dame; Christian Poellabauer, University of Notre Dame
Paper session 3
Applied Data Science June 5th 15:30 – 17:30
Camera-Based Peripheral Edema Measurement Using Machine Learning Zoran kostic*, Columbia University; Ruth Masterson Creber, Columbia University; Junbo Chen, Columbia University; Tingyu Mao, Columbia University
Quantifying Subjective Well-being Using Trends in Weekend Activity Louis Faust*, University of Notre Dame; David Hachen, University of Notre Dame; Omar Lizardo, University of Notre Dame; Nitesh Chawla, Notre Dame
A Multilevel Predictive Model for Detecting Social Network Users with Depression Akkapon Wongkoblap*, King's College London; Miguel A. Vadillo, Universidad Autónoma de Madrid; Vasa Curcin, King's College
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
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care 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
Machine Learning Methods for Disease Prediction with Claims Data Tanner Christensen, Brigham Young University; David Kartchner*, Brigham Young University; Seth Glazier, Brigham Young University; Jeffrey Humpherys, Brigham Young University
Paper session 4
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 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
Learning a Dynamic-based Representation for Multivariate Biomarker Time Series Classifications Xi Hang Cao*, Temple University; Chao Han, Temple University; Zoran Obradovic, Temple University
Motion Sensor-Based Assessment on Fall Risk and Parkinson’s Disease Severity: A Deep Multi-source Multi-task Learning (DMML) Approach 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 Wenchuan Wei*, ECE Department, UC San Diego; Carter McElroy, Department of Rehabilitation Services, UC San Diego; Sujit Dey, University of California, San Diego
A Dual-Tree Complex Wavelet Transform based Convolutional Neural Network for Human Thyroid Medical Image Segmentation Hongya Lu*, Binghamton University; Haifeng Wang, Binghamton University; Qianqian Zhang, Binghamton University; Daehan Won, Binghamton University; Sang Won Yoon, Binghamton University;
Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition Qianqian Zhang*, Binghamton University; Haifeng Wang, Binghamton University; Hongya Lu, Binghamton University; Daehan Won, Binghamton University; Sang Won Yoon, Binghamton University
Paper session 5
Text Analytics June 6th 15:30 – 17:30
Virtual Patient Model: An Approach for Generating Synthetic Healthcare Time Series Data 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 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
Recent Temporal Pattern Mining for Septic Shock Early Prediction 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
Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models Munif Ishad Mujib*, Drexel University; Christopher C. Yang, Drexel University; Mengnan Zhao, Drexel University; Jake Ryland Williams, Drexel University.
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 Qi Tan*, HKBU; Jiming Liu, Hong Kong Baptist University; Benyun Shi, School of Cyberspace, Hangzhou Dianzi University; Yang Liu, Hong Kong Baptist University
Paper session 6
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
zCare: Designing a Mobile Application to Support Caregivers of Patients with Congenital Zika Syndrome Niloofar Kalantari, George Mason University; Vivian Motti*, George Mason University
Analyzing Abusive Text Messages to Detect Digital Dating Abuse Tania Roy*, Clemson University; Jerome McClendon, Clemson University; Larry Hodges, Clemson University
Barriers to the access and use of Health Information by individuals with Intellectual and Developmental Disability IDD: A Review of the Literature Muneef Alshammari*, University of Limerick
Virtual Reality Course Based on the SAT Counseling Method for Self-guided Mental Healthcare 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
Paper session 7
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 Sagda Osman*, Michigan Technological Univeristy; Guy Hembroff, Michigan Technological Univeristy; Marocs Matos, Bahiana School of Medicine and Public Health
Study of online health discussion fora for the detection of medication misuses Elise Bigeard*, CNRS, Université de Bordeaux; Frantz Thiessard, Université de Bordeaux; Natalia Grabar, CNRS
Electronic system for chaotic time series prediction associated to human disease Esteban Tlelo-Cuautle*, INAOE; Ana Dalia Panoi-Azucena, INAOE; Sheldon Tan, University of California Riverside
Lessons Learned in the Development of a Computable Phenotype for Response in Myeloproliferative Neoplasms Evan Sholle*, Weill Cornell Medicine; Thomas Campion, "Weill Cornell Medicine, NY"; Spencer Krichevsky, Weill Cornell Medicine; Claudia Sosner, Weill Cornell Medicine
A Real-Time Software for the Acquisition of Photoplethysmography Signal using Two Regions of Interest Simultaneously 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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