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ICHI 2018: New York City, NY, USA
- IEEE International Conference on Healthcare Informatics, ICHI 2018, New York City, NY, USA, June 4-7, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-5377-7
Paper Session 1: EHR Mining
- Philip Weber, Ruth Backman, Ian Litchfield, Mark Lee:
A Process Mining and Text Analysis Approach to Analyse the Extent of Polypharmacy in Medical Prescribing. 1-11 - Frank Fox, Vishal R. Aggarwal, Helen Whelton, Owen A. Johnson:
A Data Quality Framework for Process Mining of Electronic Health Record Data. 12-21 - Mengnan Zhao, Christopher C. Yang:
Exploiting OHC Data with Tensor Decomposition for Off-Label Drug Use Detection. 22-28 - Sen Yang, Fei Tao, Jingyuan Li, Dawei Wang, Shuhong Chen, Omar Z. Ahmed, Ivan Marsic, Randall S. Burd:
Process Mining the Trauma Resuscitation Patient Cohorts. 29-35 - Sen Yang, Weiqing Ni, Xin Dong, Shuhong Chen, Richard A. Farneth, Aleksandra Sarcevic, Ivan Marsic, Randall S. Burd:
Intention Mining in Medical Process: A Case Study in Trauma Resuscitation. 36-43 - Zexian Zeng, Ankita Roy, Xiaoyu Li, Sasa Espino, Susan E. Clare, Seema A. Khan, Yuan Luo:
Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer. 44-52
Paper Session 2: Understanding Patients, Understanding Providers
- Robin De Croon, Davina Wildemeersch, Joris Wille, Katrien Verbert, Vero Vanden Abeele:
Gamification and Serious Games in a Healthcare Informatics Context. 53-63 - Peng Zhang, Douglas C. Schmidt, Jules White, Shelagh A. Mulvaney:
Towards Precision Behavioral Medicine with IoT: Iterative Design and Optimization of a Self-Management Tool for Type 1 Diabetes. 64-74 - Maha Aljohani, James Blustein:
A Study Using the In-Depth Interview Approach to Understand Current Practices in the Management of Personal Health Information and Privacy Compliance. 75-86 - Mike Krey:
Towards a Method for Enterprise Mobility Management (EMM) in Healthcare. 87-97 - Maali Alabdulhafith, Srinivas Sampalli:
Defining the Functional Requirements for the NFC-Based Medication Administration and Clinical Communication System. 98-102 - Sudip Vhaduri, Christian Poellabauer:
Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data. 103-114
Paper Session 3: Applied Data Science
- Junbo Chen, Tingyu Mao, Yunlei Qiu, Duoying Zhou, Zoran Kostic:
Camera-Based Peripheral Edema Measurement Using Machine Learning. 115-122 - Louis Faust, David Hachen, Omar Lizardo, Nitesh V. Chawla:
Quantifying Subjective Well-Being Using Trends in Weekend Activity. 123-129 - Akkapon Wongkoblap, Miguel A. Vadillo, Vasa Curcin:
A Multilevel Predictive Model for Detecting Social Network Users with Depression. 130-135 - John Richard Lee, Bilal Chughtai, Rema Padman:
Variable Selection for Chronic Disease Outcome Prediction Using a Causal Inference Technique: A Preliminary Study. 136-143 - Oliver Ren, Alistair E. W. Johnson, Eric P. Lehman, Matthieu Komorowski, Jerome Aboab, Fengyi Tang, Zach Shahn, Daby Sow, Roger G. Mark, Li-Wei H. Lehman:
Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data. 144-151
Paper Session 4: Multimethod Analysis of Medical Data, Images, and Sensor Data
- Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching:
Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. 152-162 - Xi Hang Cao, Chao Han, Zoran Obradovic:
Learning a Dynamic-Based Representation for Multivariate Biomarker Time Series Classifications. 163-173 - Shuo Yu, Hsinchun Chen, Randall A. Brown, Scott J. Sherman:
Motion Sensor-Based Assessment on Fall Risk and Parkinson's Disease Severity: A Deep Multi-Source Multi-Task Learning (DMML) Approach. 174-179 - Wenchuan Wei, Carter McElroy, Sujit Dey:
Human Action Understanding and Movement Error Identification for the Treatment of Patients with Parkinson's Disease. 180-190 - Hongya Lu, Haifeng Wang, Qianqian Zhang, Daehan Won, Sang Won Yoon:
A Dual-Tree Complex Wavelet Transform Based Convolutional Neural Network for Human Thyroid Medical Image Segmentation. 191-198 - Qianqian Zhang, Haifeng Wang, Hongya Lu, Daehan Won, Sang Won Yoon:
Medical Image Synthesis with Generative Adversarial Networks for Tissue Recognition. 199-207
Paper Session 5: Text Analytics
- Rittika Shamsuddin, Barbara Mukami Maweu, Ming Li, Balakrishnan Prabhakaran:
Virtual Patient Model: An Approach for Generating Synthetic Healthcare Time Series Data. 208-218 - Chen Lin, Yuan Zhang, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne M. Huddleston, Min Chi:
Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM. 219-228 - Farzaneh Khoshnevisan, Julie S. Ivy, Muge Capan, Ryan Arnold, Jeanne Huddleston, Min Chi:
Recent Temporal Pattern Mining for Septic Shock Early Prediction. 229-240 - Munif Ishad Mujib, Christopher C. Yang, Mengnan Zhao, Jake Ryland Williams:
Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models. 241-246 - Jingyi Shi, Mingna Zheng, Lixia Yao, Yaorong Ge:
A Publication-Based Popularity Index (PPI) for Healthcare Dataset Ranking. 247-254 - Qi Tan, Jiming Liu, Benyun Shi, Yang Liu, Xiao-Nong Zhou:
Public Health Surveillance with Incomplete Data - Spatio-Temporal Imputation for Inferring Infectious Disease Dynamics. 255-264
Paper Session 6: Health Informatics for Vulnerable Populations
- Udaya Lakshmi, Matthew K. Hong, Lauren Wilcox:
Integrating Patient-Generated Observations of Daily Living into Pediatric Cancer Care: A Formative User Interface Design Study. 265-275 - Niloofar Kalantari, Vivian Genaro Motti:
zCare: Designing a Mobile Application to Support Caregivers of Patients with Congenital Zika Syndrome. 276-283 - Tania Roy, Jerome McClendon, Larry F. Hodges:
Analyzing Abusive Text Messages to Detect Digital Dating Abuse. 284-293 - Muneef Alshammari, Owen Doody, Ita Richardson:
Barriers to the Access and use of Health Information by Individuals with Intellectual and Developmental Disability IDD: A Review of the Literature. 294-298 - Tatsuya Ito, Takeshi Kamita, Atsuko Matsumoto, Tsunetsugu Munakata, Tomoo Inoue:
Virtual Reality Course Based on the SAT Counseling Method for Self-Guided Mental Healthcare. 299-306
Paper Session 7: Software and Algorithms
- Sagda E. K. Osman, Guy Hembroff, Marcos Almeida Matos:
A Novel Kinect-Based Algorithm for Inferring the Position of the Lower Body Joints Using Human Gait Pattern. 307-312 - Élise Bigeard, Natalia Grabar, Frantz Thiessard:
Study of Online Health Discussion Fora for the Detection of Medication Misuses. 313-322 - Ana Dalia Pano-Azucena, Esteban Tlelo-Cuautle, Sheldon X.-D. Tan:
Electronic System for Chaotic Time Series Prediction Associated to Human Disease. 323-327 - Evan Sholle, Spencer Krichevsky, Joseph Scandura, Claudia Sosner, Thomas R. Campion Jr.:
Lessons Learned in the Development of a Computable Phenotype for Response in Myeloproliferative Neoplasms. 328-331 - Pedro Henrique de Brito Souza, Israel Machado Brito Souza, Tharcis Pereira Sacramento, Patricia Candida de Matos Lima Martins, Priscila Valverde de Oliveira Vitorino, Gabrielly Craveiro Ramos, Talles Marcelo Goncalves de Andrade Barbosa, Adson Ferreira da Rocha:
Contributions to the Acquisition of Heart Rate and Photoplethysmography Signal Using a Real-Time Software. 332-337
Poster Sessions
- Jose Gotuzzo, Sonny Vu, Sharlyn Dee, Kiran George:
Electromyography Based Orthotic Arm and Finger Rehabilitation System. 338-339 - Joseph Miles, Nafees Qamar:
Med Conformity: Enhance Adherence with Prescription Opioids. 340-341 - Joseph Reeves, Ming Li:
Context-Aware Analysis Scheduling in Wireless Body Area Networks. 342-344 - Dong Kyun Kim, Eun Suh Kim, Andrew Kyung:
An Efficient Algorithm to Enhance the Quality of Digital Image Using Numerical and Computational Analysis. 345-347 - Raja Manzar Abbas, Noel Carroll, Ita Richardson:
In Technology We Trust: Extending TAM from a Healthcare Technology Perspective. 348-349 - Haik Kalantarian, Peter Washington, Jessey N. Schwartz, Jena Daniels, Nick Haber, Dennis P. Wall:
A Gamified Mobile System for Crowdsourcing Video for Autism Research. 350-352 - William M. Southerland, Joseph Wright, Dawn Payne, Gloria J. Washington:
LifeGrid: Understanding and Quantifying the Impact of Social Determinants on Chronic Disease for Predictive Health. 355-357 - Lucretia Williams, Gloria J. Washington:
Soul Glow: An Application for Helping to Understand and Improve Mental Health Care of HBCU Students. 358-360 - Lynette Hammond Gerido, Zhe He:
Patient-Centered Strategies to Increase Participation in Cancer Clinical Trials. 361-362 - Rifat Zahan, Ian McQuillan, Nathaniel Osgood:
DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach. 363-365 - Ali Al Essa, Miad Faezipour, Zakhriya Alhassan:
Text Classification of Flu-Related Tweets Using FastText with Sentiment and Keyword Features. 366-367 - Min-hyung Kim, Yongjun Zhu, Samprit Banerjee, Lauren Evans, Yiye Zhang, Fei Wang, Sang Min Park, Jyotishman Pathak:
Comparing Sex-Specific Association Networks of Chronic Medical Conditions. 368-370 - Ji-Won Choi, Leonardo F. Urbano, Puneet Masson, Matthew VerMilyea, Moshe Kam:
Clustering of Human Sperm Swimming Patterns in Time-Lapse Images. 371-373 - Samar Binkheder, Heng-Yi Wu, Sara K. Quinney, Lang Li:
Analyzing Patterns of Literature-Based Phenotyping Definitions for Text Mining Applications. 374-376 - Qiwei Han, Inigo Martinez de Rituerto de Troya, Mengxin Ji, Manas Gaur, Leid Zejnilovic:
A Collaborative Filtering Recommender System in Primary Care: Towards a Trusting Patient-Doctor Relationship. 377-379 - Vaishnavi Kannan, DuWayne L. Willett, Pamela J. Goad, Claus G. Roehrborn, Mujeeb A. Basit:
Mapping the Treatment Journey for Patients with Prostate Cancer. 380-381 - Deyu Sun, Lucas Oliveira, Kirk Spencer:
Extracting Key Findings Compared In an Echocardiogram Report. 382-383 - Reham Aldakhil, Mouaz Almallah Almallah, Sherif Sakr:
Predictive Model for the Incidence of Hyperkalemia for Congestive Heart Failure Patients on Spironolactone. 384-385 - Han Hu, Pranavi Moturu, Kannan Dharan, James Geller, Sophie Iorio, Hai Phan, Huy T. Vo, Soon Ae Chun:
Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets. 386-387 - Chih-Lin Chi, Xinpeng Shen, Kourosh Ravvaz, John Weissert, Peter J. Tonellato:
Personalize Warfarin Trearment by Optimizing Protocol Assignment. 388-389 - Roman Z. Wang, Catherine H. Sun, Philip H. Schroeder, Mawulolo K. Ameko, Christopher C. Moore, Laura E. Barnes:
Predictive Models of Sepsis in Adult ICU Patients. 390-391 - Yen-Fu Luo, Weiyi Sun, Anna Rumshisky:
A Hybrid Method for Normalization of Medical Concepts in Clinical Narrative. 392-393 - Shao Fen Liang, Xiaohui Sun, Martin Gulliford, Vasa Curcin:
Inclusion and Exclusion of Medical Codes for Primary Care Data Extraction. 394-395 - Jochen Meyer, Kai von Holdt, Inna Bragina, Claudia Voelcker-Rehage:
Using Activity Tracker Data for the Assessment of Physical Activity in Public Health Studies. 396-397 - Pablo Pelayo, Hemamalini Murthy, Kiran George:
Brain-Computer Interface Controlled Robotic Arm to Improve Quality of Life. 398-399 - Amin Mohammadbagheri, Connie Lillas, Nathaniel D. Osgood:
Mathematical Modeling of HPA axis Using Particle Filter Algorithm. 400-402 - Giuseppe Tradigo, Patrizia Vizza, Pasquale Lambardi, Silvio Cosoleto, Pietro Hiram Guzzi, Mario Cannataro, Aldo Quattrone, Pierangelo Veltri:
VOTA - A Vocal Tract and Training Analysis Tool. 403-404 - Patrik Satrjeenpong Satrjeenpong, Archana Tapuria, Vasa Curcin, Dipak Kalra:
Identifying Audit Trail Viewer Requirements for User-Focused Design: A Qualitative Focus Group Study. 405-406 - David Chen, Gaurav Goyal, Ronald Go, Sameer Parikh, Che Ngufor:
Predicting Time to First Treatment in Chronic Lymphocytic Leukemia Using Machine Learning Survival and Classification Methods. 407-408 - Parijata Majumdar, Kakali Das, Niharika Nath, Mrinal Kanti Bhowmik:
Detection of Inflammation from Temperature Profile Using Arthritis Knee Joint Datasets. 409-411 - Ahmad Pahlavan Tafti, Fereshteh S. Bashiri, Eric LaRose, Peggy L. Peissig:
Diagnostic Classification of Lung CT Images Using Deep 3D Multi-Scale Convolutional Neural Network. 412-414 - Charles Kronk:
Constructing Fluid Ontology Space for Object-Property Management in the Biomedical Sciences. 415-416 - Hossein Mirinejad, Margo Ricks, Bahram Parvinian, Jin-Oh Hahn, Christopher G. Scully:
A Real-Time Hardware-In-The-Loop Testing Platform for Closed-Loop Fluid Resuscitation. 417-418 - Itika Gupta, Barbara Di Eugenio, Brian D. Ziebart, Bing Liu, Ben S. Gerber, Lisa K. Sharp, Rafe Davis, Aiswarya Baiju:
Towards Building a Virtual Assistant Health Coach. 419-421 - Joseph Peter Salisbury, Runpeng Liu, Lindsey Marie Minahan, Hye Young Shin, Sai Veda Pramoda Karnati, Shannon E. Duffy, Neha U. Keshav, Ned T. Sahin:
Patient Engagement Platform for Remote Monitoring of Vestibular Rehabilitation with Applications in Concussion Management and Elderly Fall Prevention. 422-423 - Tracy C. Kim, Ann M. Bisantz, Natalie C. Benda, David LaVergne, Joseph Blumenthal, Daniel J. Hoffman, Karen Chow, Rollin J. Fairbanks, Aaron Zachary Hettinger:
Assessing the Usability of a Prototype Emergency Medicine Patient-Centered Electronic Health Record Display. 424-425 - Gaurav Trivedi, Robert M. Handzel, Shyam Visweswaran, Wendy W. Chapman, Harry Hochheiser:
An Interactive NLP Tool for Signout Note Preparation. 426-428 - Xin Wang, Yugang Jia, Merlijn Sevenster, Thomas A. Forsberg, Lucas Oliveira, Kirk Spencer:
Representation Learning of Finding Codes in Structured Echocardiogram Reporting. 429-431 - Trang T. Le, Matthew K. Breitenstein:
Data-Driven Clinical Phenotyping of Denosumab Exposure in a Large United States Cohort. 432-433 - Luca Bonomi, Xiaoqian Jiang:
Pattern Similarity in Time Interval Sequences. 434-435 - Akkapon Wongkoblap, Miguel A. Vadillo, Vasa Curcin:
Classifying Depressed Users With Multiple Instance Learning from Social Network Data. 436 - Jingyuan Li, Sen Yang, Shuhong Chen, Fei Tao, Ivan Marsic, Randall S. Burd:
Discovering Interpretable Medical Workflow Models. 437-439 - Jinhe Shi, Yi Chen, Guodong Gordon Gao, P. Kenyon Crowley, William C. Kinsman, Chenyu Ha, Chelsea N. King, Eric Sullivan:
Patient Disease Identification in Clinical Notes. 440 - Lina Chato, Erik Chow, Shahram Latifi:
Wavelet Transform to Improve Accuracy of a Prediction Model for Overall Survival Time of Brain Tumor Patients Based On MRI Images. 441-442 - Mohammad Kachuee, Shayan Fazeli, Majid Sarrafzadeh:
ECG Heartbeat Classification: A Deep Transferable Representation. 443-444
Tutorials
- Kourosh Ravvaz, John Weissert:
An Interactive Tutorial on Simulated Pharmacogenomic Clinical Trials. 445 - Mark R. Kanner, Sylvie Lardeux, Foruhar Shiva:
Is the Best Model Also the Right Solution? 446 - Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Interpretable Machine Learning in Healthcare. 447
Doctoral Consortium
- Gaurav Trivedi:
Towards Interactive Natural Language Processing in Clinical Care. 448-449 - Amir Baghdadi:
Application of Inertial Measurement Units for Advanced Safety Surveillance System Using Individualized Sensor Technology (ASSIST): A Data Fusion and Machine Learning Approach. 450-451 - Kim Tran:
The Validity and Reliability of Social Networks as a Source for Idiopathic Pulmonary Fibrosis Patient-Reported Outcomes. 452 - Kang Lin Hsieh:
The Challenges of Using Temporal Representation in Real-World EHR Data. 453-454 - Abdullah H. Alzeer, Jay S. Patel, Brian E. Dixon, Matthew Bair, Josette Jones:
A Comparison Between Two Approaches to Identify Opioid Use Problems: ICD-9 vs. Text-Mining Approach. 455-456 - Junbo Chen, Tingyu Mao:
Camera-Based Peripheral Edema Measurement Using Machine Learning. 457-458 - Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth:
Mental Health Analysis Via Social Media Data. 459-460 - Faezeh Movahedi, Yiye Zhang, Rema Padman, James F. Antaki:
Mining Temporal Patterns from Sequential Healthcare Data. 461-462 - Peng Zhang, Jules White, Douglas C. Schmidt:
Architectures and Patterns for Leveraging High-Frequency, Low-Fidelity Data in the Healthcare Domain. 463-464 - Protiva Rahman, Courtney Hebert, Arnab Nandi:
Enabling Effective Data Interaction for Domain Experts. 465-466 - Tanner Christensen, Abraham Frandsen, Seth Glazier, Jeffrey Humpherys, David Kartchner:
Machine Learning Methods for Disease Prediction with Claims Data. 467-4674
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