Center for Computational Health Publications



2017

Predictive modeling of physician-patient dynamics that influence sleep medication prescriptions and clinical decision-making
Beam A, Kartoun U, Pai J, Chatterjee A, Fitzgerald T, Shaw S, Kohane I
Scientific Reports, 2017

Identifying Chemical Substructures Associated With Adverse Drug Reactions
Sanjoy Dey, Heng Luo, Achille Fokoue-Nkoutche, Jianying Hu, Ping Zhang

An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction
Cao Xiao, Shouyi Wang, Leon Iasemidis, Stephen Wong, Art Chaovalitwongse
IEEE Transactions on Big Data, 2017

Factors associated with clinical inertia after metformin monotherapy failure
Kartoun U, Iglay K, Shankar R, Beam A, Palmer N, Radican L, Chatterjee A, Pai J, Kohane I, Shaw S
The American Diabetes Association 77th Scientific Sessions, San Diego, CA / June 2017 supplement to the Journal Diabetes

A Personalized Pacing System for Real-time Physical Activity Advising
Hung-Yang Chang, Zhiguo Li, Subhro Das, Tian Hao, Chandramouli Maduri, Chohreh Partovian, James Codella, Ching-Hua Chen
The 2nd IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)., 2017
Abstract

Patient Subtyping via Time-Aware LSTM Networks.
Inci Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil Jain and Jiayu Zhou
Proceedings of the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017)

Unsupervised Sequential Outlier Detection with Deep Architectures
Weining Lu, Yu Cheng, Cao Xiao, Shiyu Chang, Shuai Huang, Bin Liang, and Thomas Huang
IEEE Transactions on Image Processing, IEEE, 2017

Subtyping Parkinson's Disease with Recurrent Neural Network Models
Xi Zhang, Jian Liang, Cao Xiao, Yize Zhao, and Fei Wang
American Medical Informatics Association Annual Symposium (AMIA), Abstract, 2017

StressHacker: Towards Practical Stress Monitoring in the Wild with Smartwatches
Tian Hao, Kimberly Walter, Marion Ball, Henry Chang, Si Sun, Xinxin Zhu
AMIA 2017 Annual Symposium (Nominated for Distinguished Paper)
Abstract

Improving Predictive Models with Clustered Sequences: An Application on Heart Failure Risk Prediction
Kun Lin, Ping Zhang, Gigi Yuen-Reed, Ying Li, Jianying Hu
AMIA Summit on Clinical Research Informatics (CRI), Abstract, 2017

Indication Prediction for Small Molecules with Pathway-based Visualization
Heng Luo, Janu Verma, Jianying Hu, Ping Zhang
AMIA Summit on Translational Bioinformatics (TBI), Poster, 2017

Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation
Shijing Guo, Xiang Li, Haifeng Liu, Ping Zhang, Xin Du, Guotong Xie, Fei Wang
AMIA Summit on Clinical Research Informatics (CRI), 2017
Abstract

DrugPathSeeker: Interactive UI for Exploring Drug-ADR Relation via Pathways
Janu Verma, Heng Luo, Jianying Hu, Ping Zhang
IEEE Pacific Visualization Symposium (PacificVis), 2017
Abstract

Precision Cohort Finding with Outcome-Driven Similarity Analytics: A Case Study of Patients with Atrial Fibrillation
Haifeng Liu, Xiang Li, Guotong Xie, Xin Du, Ping Zhang, Chengming Gu, Jingyi Hu
World Congress on Medical Health Informatics (Medinfo), 2017

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation
Cao Xiao, Ping Zhang, W. Art Chaovalitwongse, Jianying Hu, Fei Wang
AAAI Conference on Artificial Intelligence (AAAI), 2017
Abstract

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction
Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang
AAAI Conference on Artificial Intelligence (AAAI), 2017
Abstract

Large-Scale Structural and Textual Similarity-Based Mining of Knowledge Graph to Predict Drug-Drug Interactions
Ibrahim Abdelaziz, Achille Fokoue, Oktie Hassanzadeh, Ping Zhang, Mohammad Sadoghi
Journal of Web Semantics, 2017
Abstract

Putting patient data into action: the use of patient-generated health data in clinical care and research
Austin, Robin R and Kim, Katherine and Beckjord, Ellen and Hesse, Bradford W and Smith, Ashley Wilder and Gorin, Sherri Sheinfeld and Wright, Julie A and Breland, Jessica Y and Tanaka, Miho and Hsueh, Pei-Yun Sabrina
ANNALS OF BEHAVIORAL MEDICINE, pp. S16--S17, 2017

Tracking eye recovery
Chang, Hung-Yang and Pei-yun, S Hsueh and Jang, Lih-Guong and Lu, Joe and Ramakrishnan, Sreeram and Wang, Yi-Chang and Wu, Nien-Chu and Zhu, Xinxin
US Patent 9,552,517
Abstract

The Power of the Patient Voice: Learning Indicators of Treatment Adherence From An Online Breast Cancer Forum.
Yin, Zhijun and Malin, Bradley and Warner, Jeremy and Hsueh, Pei-Yun and Chen, Ching-Hua
ICWSM, pp. 337--346, 2017

A First Step Towards Behavioral Coaching for Managing Stress: A Case Study on Optimal Policy Estimation with Multi-stage Threshold Q-learning
Hu X, PS Hsueh, M Qian, C-H Chen, KM Diaz, Y-K Cheung.
AMIA 2017

Interpretable Clustering for Prototypical Patient Understanding: A Case Study of Hypertension and Depression Behavioral Profiling in National Health and Nutrition Examination Survey Data.
Hsueh PS, S Das
AMIA 2017 Podium presentation

Consumer Health Informatics Survey: Present and Future Trends in Consumer Health Informatics and Patient Generated Health Data
Lai A, Hsueh PS, Y Choi, R Austin.
2017 IMIA Yearbook of Medical Informatics

Making sense of Patient Generated Health Data with better interpretability: The transition from "more" to "better"
Hsueh PS, S Das, S Dey, T Wetter.
MEDINFO 2017

Added Value from Secondary Use of Person Generated Health Data in Consumer Health Informatics
Hsueh PS, F Martin-Sanchez, K. Kim, S Peterson, S Dey, Y-K Cheung, T Wetter.
IMIA Yearbook Review 26(1), 2017


2016

Identifying and investigating unexpected response to treatment: a diabetes case study
Ozery-Flato, Michal and Ein-Dor, Liat and Parush-Shear-Yashuv, Naama and Aharonov, Ranit and Neuvirth, Hani and Kohn, Martin S and Hu, Jianying
Big data 4(3), 148--159, Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, 2016
Abstract

Deep State Space Models for Computational Phenotyping
Ghosh, Soumya and Cheng, Yu and Sun, Zhaonan
Healthcare Informatics (ICHI), 2016 IEEE International Conference on, pp. 399--402
Abstract

Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes
Li, Ben and Sun, Zhaonan and He, Qing and Zhu, Yu and Qin, Zhaohui S
Bioinformatics 32(5), 682--689, Oxford Univ Press, 2016
Abstract

Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems
Li, Ying and Zhang, Ping and Sun, Zhaonan and Hu, Jianying
American Medical Informatics Association Summit on Clinical Research Informatics(AMIA)., 2016
Abstract

Embedded device for flow monitoring
CAHAN, AMOS Deligianni, Hariklia (Lili) HSUEH, PEI-YUN S. van Kessel, Theodore G.

Prevention of Biofilm Formation
CAHAN, AMOS Hedrick, James L. FEVRE, MAREVA van Kessel, Theodore G. HSUEH, PEI-YUN S. Deligianni, Hariklia (Lili)

Risk Prediction with Electronic Health Records: A Deep Learning Approach
Y Cheng, F Wang, P Zhang and J Hu
2016 SIAM International Conference on Data Mining (SDM 2016)

Next Generation Wellness: A Technology Model for Personalizing Healthcare
Hsueh, Pei-Yun Sabrina and Chang, Henry and Ramakrishnan, Sreeram
Healthcare Information Management Systems, pp. 355--374, Springer, 2016
Abstract

Patient-Generated Health Data in Action.
Austin, Robin and Lai, Albert and Hsueh, Pei-Yun
AMIA, 2016

Transforming Patient-generated Data for Wellness and Biomedical Research: From Behavioral Sensing to Decision Support.
Hsueh, Pei-Yun Sabrina and Peterson, Susan and Mart{\'\i}n-S{\'a}nchez, Fernando Jos{\'e} and Kim, Katherine K and Demiralp, {\c{C}}agatay
AMIA, 2016

Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care
Ng K, Stewart WF, deFilippi C, Steinhubl SR,
AMIA Jt Summits Transl Sci 2016

Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models
Krause J, Perer A, Ng K
ACM Conference on Human Factors in Computing Systems, 2016

Imputing Drug-Perturbed Gene Expression Profiles for LINCS L1000 Data
Rachel Hodos, Ping Zhang, Qiaonan Duan, Avi Ma'ayan, Neil R. Clark, Fei Wang, David Sontag, Jianying Hu, Joel Dudley
AMIA Summit on Translational Bioinformatics (TBI), Abstract, 2016

Predicting Drug-Drug Interactions through Large-Scale Similarity-Based Link Prediction
Achille Fokoue-Nkoutche, Mohammad Sadoghi, Oktie Hassanzadeh, Ping Zhang
Extended Semantic Web Conference (ESWC), 2016
Abstract

Predicting Drug-Drug Interactions Through Similarity-Based Link Prediction Over Web Data
Achille Fokoue-Nkoutche, Oktie Hassanzadeh, Mohammad Sadoghi, Ping Zhang
International World Wide Web Conference (WWW), Demo Track, ACM, 2016

Risk Prediction with Electronic Health Records: A Deep Learning Approach
Yu Cheng, Fei Wang, Ping Zhang, Jianying Hu
SIAM International Conference on Data Mining (SDM), 2016
Abstract

VisOHC: Designing Visual Analytics for Online Health Communities
Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jina Huh, Ji Soo Yi
Visualization and Computer Graphics, IEEE Transactions on 22(1), 71--80, 2016

Clustering of elderly patient subgroups to identify medication-related readmission risks
Olson, Catherine H and Dey, Sanjoy and Kumar, Vipin and Monsen, Karen A and Westra, Bonnie L
International journal of medical informatics 85(1), 43--52, Elsevier, 2016

Data Driven Analytics for Personalized Healthcare
Hu, Jianying and Perer, Adam and Wang, Fei
Healthcare Information Management Systems, pp. 529--554, Springer, 2016


2015

Automatic summarization of risk factors preceding disease progression an insight-driven healthcare service case study on using medical records of diabetic patients
Hsueh, Pei-Yun S and Zhu, Xin Xin and Hsiao, Mark JH and Lee, Selina YF and Deng, Vincent and Ramakrishnan, Sreeram
World Wide Web 18(4), 1163--1175, Springer, 2015
Abstract

Special section on The Human Side of Service Engineering
Hsueh, Pei-Yun S and Zhu, Xin Xin and Hsiao, Mark JH and Lee, Selina YF and Deng, Vincent and Ramakrishnan, Sreeram and Saviano, Marialuisa and Simone, Cristina
World Wide Web18, 1145, Springer, 2015
Abstract

Relative Patterns Discovery toward Big Data Analytics
Pai, Hao-Ting and Wu, Fan and Hsueh, Pei-Yun S Sabrina and Lin, Grace and Chan, Ya-Hui
e-Business Engineering (ICEBE), 2015 IEEE 12th International Conference on, pp. 401--407
Abstract

Next-Generation Wellness and Prevention Care: From Supporting Technology for Personalization to Ecosystem Formation.
P. Hsueh, H. Chang, S. Ramakrishnan
Healthcare information Management, 4th Edition, Springer Publishing, 2015

Prediction of Drug-Drug Interactions Based on Clinical Side Effects
Ping Zhang, Fei Wang, Jianying Hu
AMIA Summit on Translational Bioinformatics (TBI), Abstract, 2015

Personalized Medicine on Cancer Treatment: Using Big Data Techniques to Integrate Clinical and Genomic Data
Filippo Utro, Ping Zhang, Fei Wang, Jianying Hu
AMIA Summit on Translational Bioinformatics (TBI), Abstract, 2015

Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics
Kenney Ng, Chris Kakkanatt, Michael Benigno, Clay Thompson, Margaret Jackson, Amos Cahan, Xinxin Zhu, Ping Zhang, Paul Huang
International Medical Informatics Conference (MedInfo), Abstract, IOS Press, 2015
Abstract

Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
Ping Zhang, Fei Wang, Jianying Hu, Robert Sorrentino
Scientific Reports, Nature Publishing Group, 2015
Abstract

Towards Computational Drug Repositioning: A Comparative Study of Single-task and Multi-task Learning
Ping Zhang, Zhaonan Sun, Fei Wang, Jianying Hu
American Medical Informatics Association Annual Symposium (AMIA), Abstract, 2015
Abstract


Early Detection of Heart Failure with Varying Prediction Windows by Structured and Unstructured Data in Electronic Health Records
Wang Y, Ng K, Byrd R, Hu J, Ebadollahi S, Daar Z, deFilippi C, Steinhubl SR, Stewart WF
IEEE Engineering in Medicine and Biology Society (EMBS) 2015

Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics.
Ng K, Kakkanatt C, Benigno M, Thompson C, Jackson M, Cahan A, Zhu X, Zhang P, Huang P
Stud Health Technol Inform. 2015;216:1056.

Personalized Predictive Modeling and Risk Factor Identification using Patient Similarity
Ng K, Sun J, Hu J, Wang F
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:132-6.

Prescription Extraction from Clinical Notes: Towards Automating EMR Medication Reconciliation.
Wang Y, Steinhubl SR, Defilippi C, Ng K, Ebadollahi S, Stewart WF, Byrd RJ.
AMIA Jt Summits Transl Sci Proc. 2015 Mar 25;2015:188-93.

Early Detection of Heart Failure Using Structured and Unstructured Information in Electronic Health Records
Wang Y, Ng K, Byrd RJ, Ebadollahi S, Stewart WF
AMIA Jt Summits Transl Sci 2015

Addressing Patient Adherence Issues by Engaging Enabling Technologies
Hsueh, P.S., M. Ball, F. J. Martin Sanchez, C. Patrovian, V. Patel.
Proceedings of the 26th European Medical Informatics Conference (MIE 2015)

Effective patient adherence management with patient-generated data.
Hsueh, P.S., M. Ball, M. Marschollek, F. J. Martin Sanchez, C. Patrovian, V. Patel.
The 15th World Congress on Medical and Health Informatics (MEDINFO 2015)

Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure in Primary Care
Ng K, Stewart WF, deFilippi C, Wang Y, Byrd R, Steinhubl SR, Hu J, Daar Z, Law H, Hu J
American Heart Association 2015 Scientific Sessions

Physician Documentation Behaviors in Electronic Health Records as a Potential Source of Noise for Early Detection of Heart Failure
Wang Y, Ng K, Hu J, Byrd RJ, Steinhubl SR, deFilippi C, Stewart WF
American Heart Association 2015 Scientific Sessions

Incorporating Patient Generated Health Data into Chronic Disease Management: A Human Factors Approach.
Catalina M. Danis
Healthcare Information Management Systems, Fourth Edition., New York: Springer, 2015

No Patient Engagement& no Chance for Adherence!
Marion Ball, Marty Minniti, Catalina Danis, Alexis Concordia, & Sasha Ballen.
Journal of Healthcare Information Management , 2015

Secondhand smoke exposure, parental depressive symptoms and preschool behavioral outcomes
Nerissa S Bauer, Anand, Vibha, Aaron E Carroll, Stephen M Downs
Journal of pediatric nursing 30(1), 227--235, Elsevier, 2015

Pediatric decision support using adapted Arden Syntax
Anand, Vibha, Aaron E Carroll, Paul G Biondich, Tamara M Dugan, Stephen M Downs
Artificial intelligence in medicine, Elsevier, 2015

Leveraging Electronic Tablets and a Readily Available Data Capture Platform to Assess Chronic Pain in Children: The PROBE system.
Anand, Vibha, Steven J Spalding
Studies in health technology and informatics216, 554, 2015

A method to combine signals from spontaneous reporting systems and observational healthcare data to detect adverse drug reactions
Li, Ying and Ryan, Patrick B and Wei, Ying and Friedman, Carol
Drug safety 38(10), 895--908, Springer, 2015

What are the Causes of Non-compliance Behaviors in Bar Code Medication Administration System Processes?
Byung Cheol Lee, Sukwon Lee, Bum Chul Kwon, Ji Soo Yi
International Journal of Human-Computer Interaction 31(4), 227--252, 2015

Coddlers, scientists, adventurers, and opportunists: Personas to inform online health community development
Jina Huh, Bum Chul Kwon, Jaegul Choo, Sung-Hee Kim, Ji Soo Yi
arXiv preprint arXiv:1506.09191, 2015

Predictive Models for Integrating Clinical and Genomic Data
Dey, Sanjoy and Gupta, Rohit and Steinbach, Michael and Kumar, Vipin
Healthcare Data Analytics36, 433, CRC Press, 2015

LINKAGE: An Approach for Comprehensive Risk Prediction for Care Management
Sun, Zhaonan and Wang, Fei and Hu, Jianying
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1145--1154, 2015

Mining and exploring care pathways from electronic medical records with visual analytics
Perer, Adam and Wang, Fei and Hu, Jianying
Journal of biomedical informatics56, 369--378, Elsevier, 2015

Mining Patterns Associated With Mobility Outcomes in Home Healthcare
Dey, Sanjoy and Cooner, Jacob and Delaney, Connie W and Fakhoury, Joanna and Kumar, Vipin and Simon, Gyorgy and Steinbach, Michael and Weed, Jeremy and Westra, Bonnie L
Nursing research 64(4), 235--245, LWW, 2015

Towards actionable risk stratification: a bilinear approach
Wang, Xiang and Wang, Fei and Hu, Jianying and Sorrentino, Robert
Journal of biomedical informatics53, 147--155, Elsevier, 2015

Analysis of Care Pathway Variation Patterns in Patient Records
Li, Xiang and Mei, Jing and Liu, Haifeng and Yu, Yiqin and Xie, Guotong and Hu, Jianying and Wang, Fei
Studies in health technology and informatics210, 692, 2015

Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework
Liu, Chuanren and Wang, Fei and Hu, Jianying and Xiong, Hui
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 705--714, 2015

Data Driven Modeling of Electronic Health Record Data to Detect Pre-diagnostic Heart Failure in Primary Care
Ng, Kenney and Stewart, Walter F and Wang, Yajuan and Byrd, Roy J and Steinhubl, Steven R and Daar, Zahar and Law, Heather and Hu, Jianying and others
Circulation 132(Suppl 3), A17713--A17713, Am Heart Assoc, 2015

Physician Documentation Behaviors in Electronic Health Records as a Potential Source of Noise for Early Detection of Heart Failure
Wang, Yajuan and Ng, Kenney and Hu, Jianying and Byrd, Roy J and Steinhubl, Steven R and Stewart, Walter F and others
Circulation 132(Suppl 3), A16364--A16364, Am Heart Assoc, 2015

Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
Zhang, Ping and Wang, Fei and Hu, Jianying and Sorrentino, Robert
Scientific reports5, Nature Publishing Group, 2015

A system for identifying and investigating unexpected response to treatment
Ozery-Flato, Michal and Ein-Dor, Liat and Neuvirth, Hani and Parush, Naama and Kohn, Martin S and Hu, Jianying and Aharonov, Ranit
AMIA Summits on Translational Science Proceedings2015, 137, American Medical Informatics Association


2014

Developing health information feature abstractions from intra-individual temporal variance heteroskedasticity
Akushevich, Maryna and Hsueh, Pei-Yun and Mooiweer, Peter and Ramakrishnan, Sreeram and Sharma, Shweta and Yu, Ke
US Patent App. 14/184,129
Abstract


2013

Personalized compliance feedback via model-driven sensor data assessment
Hsiao, Mark and Hsueh, Pei-Yun Sabrina and Ramakrishnan, Sreeram
US Patent App. 13/969,722
Abstract

Personalized healthcare and adherence: issues and challenges.
Hsueh, Pei-Yun Sabrina and Shen, Bern and Patel, Vimla and Ball, Marion
MedInfo, pp. 1238, 2013
Abstract


2012

A healthcare utilization analysis framework for hot spotting and contextual anomaly detection.
Hu, Jianying and Wang, Fei and Sun, Jimeng and Sorrentino, Robert and Ebadollahi, Shahram
AMIA, 2012

Risk Mediation Cloud Service: Constructing Statistical Models of Patient Adherence for Sustainable Case Management
Hsueh, Pei-Yun and Ramakrishnan, Sreeram and Chang, Henry
SRII Global Conference (SRII), 2012 Annual, pp. 237--242
Abstract

Towards Personalized Care Coordination Service: Integrating Guideline-Based Practice with Interactive Data-Driven Analytics
Hsueh, Pei-Yun and Ramakrishnan, Sreeram
SRII Global Conference (SRII), 2012 Annual, pp. 250--257
Abstract


2008

Using data mining for accurate resource and skill demand forecasting in services engagements
Hu, Jianying and Singh, Moninder and Mojsilovic, Aleksandra
KDD Workshop on Data Mining for Business Applications, 2008


2007

Decision Detection and Tracking: Multimodal Information Fusion from Multiparty Discourse
Hsueh, Pei-Yun Sabrina
Institute for Communicating and Collaborative Systems, 2007


Year Unknown

Privacy Protection Issues for Healthcare Wellness Clouds Wellness Clouds
Grandison, Tyrone and Pei-yun, S Hsueh and Zeng, Liangzhao and Chang, Henry and Chen, Yi-Hui and Lan, Ci-Wei and Pai, Howard and Tseng, Li-Feng
yun, L Zeng, H Chang, YH Chen… - researchgate.net, 0
Abstract