Center for Computational Health - Selected Publications



Selected Publications

Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-task Survival Analysis Approach.
Liu B, Li Y, Sun Z, Ghosh S, Ng K.
Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018

A Personal Journey into the field of Healthcare Informatics: Looking back and considering the future.
Marion Ball
International Journal of Biomedicine and Healthcare, Volume "Women in Health Informatics," pp. 4-10, December 2017. 
www.ijbh.org

Exploiting Electronic Health Records to Mine Drug Effects on Laboratory Test Results.
Mohamed Ghalwash, Ying Li, Ping Zhang, Jianying Hu.
International Conference on Information and Knowledge Management (CIKM 2017), Nov. 2017.
https://dl.acm.org/citation.cfm?id=3132847.3132986

MindfulWatch: A Smartwatch-based System for Real-time Respiration Monitoring During Meditation. 
Tian Hao, Chongguang Bi, Guoliang Xing, Roxane Chan, Linlin Tu 
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2017

Second thoughts on the final rule: An analysis of baseline participant characteristics reports on ClinicalTrials.gov.
Cahan A, Anand V.
PLoS One. 2017 Nov 6;12(11).

The MELD-Plus: A generalizable prediction risk score in cirrhosis
Uri Kartoun, Kathleen E. Corey, Tracey G. Simon, Hui Zheng, Rahul Aggarwal, Kenney Ng, Stanley Y. Shaw
PLOS ONE | https://doi.org/10.1371/journal.pone.0186301 October 25, 2017

Added Value from Secondary Use of Person Generated Health Data in Consumer Health Informatics. 
P.S. Hsueh. F. Martin-Sanchez, K. Kim, S. Peterson, S. Dey, Y-K Cheung, T. Wetter
IMIA Yearbook of Medical Informatics 26(1), 2017. https://doi.org/10.15265/IY-2017-009 

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

Making sense of Patient Generated Health Data (PGHD) with better interpretability: The transition from "more" to "better". 
P.S. Hsueh, S. Das, S. Dey, T. Wetter
The 16th World Congress on Medical and Health Informatics (MedInfo), 2017

cHRV: Uncovering Daily Stress Dynamics using Bio-signal from Consumer Wearables. 
Tian Hao, Henry Chang, Marion Ball, Kun Lin, Xinxin Zhu 
The 16th World Congress on Medical and Health Informatics (MedInfo), 2017

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 
The 16th World Congress on Medical Health Informatics (Medinfo), 2017

Is There a Priority Shift in Mental Health Clinical Trials?
Anand V, Ghosh S, Anand A.
Stud Health Technol Inform. 2017;245:280-284.

Screening for Behavioral Risks: A Precision Healthcare Driven Approach for Chronic Pain Evaluation in Pediatric Specialty Care.
Anand V, Zeft AS, Spalding SJ.
Stud Health Technol Inform. 2017;245:275-279.

The Power of the Patient Voice: Learning Indicators of Hormonal Therapy Adherence from an Online Breast Cancer Forum.
Z. Yin, M. Bradley, J. Warner, P.S. Hsueh, C-H. Chen
The 11th AAAI conference on Web and Social Media (AAAI ICWSM) 2017

Predicting Future High-Cost Schizophrenia Patients Using High-Dimensional Administrative Data.
Wang, V. Iyengar, J. Hu, D. Kho, E. Falconer, J. Docherty and G. Y. Yuen
Frontiers of Psychiatry, 2017.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5491596/

FamilyLog: A Mobile System for Monitoring Family Mealtime Activities. 
Chongguang Bi, Guoliang Xing, Tian Hao, Jina Huh, Wei Peng, Mengyan Ma 
IEEE International Conference on Pervasive Computing and Communications (Percom), 2017 

Toward Predicting Social Support Needs in Online Health Social Networks.
Choi, M.-J., Kim, S.-H., Lee, S., Kwon, B. C., Yi, J. S., Choo, J., & Huh, J.
Journal of Medical Internet Research (2017)
http://www.jmir.org/2017/8/e272/

Sampling for Scalable Visual Analytics.
Kwon, B. C., Verma, J., Demiralp, C., & Haas, P.
IEEE Computer Graphics and Applications. 37(1), 100-108 (2017).
http://ieeexplore.ieee.org/document/7819391/

AxiSketcher: Interactive Nonlinear Axis Mapping through User's Drawing on Visualization.
Kwon, B. C., Kim, H., Wall, E., Choo, J., Park, H., & Endert, A.
IEEE Transactions on Visualization and Computer Graphics (2017).
http://ieeexplore.ieee.org/document/7534876/

VLAT: Development of a Visualization Literacy Assessment Test.
Lee, S., Kim, S.-H., & Kwon, B. C.
IEEE Transactions on Visualization and Computer Graphics (2017).
http://ieeexplore.ieee.org/document/7539634/

Optimal Expert Knowledge Elicitation for Bayesian Network Structure Identification.
Cao Xiao, Yan Jin, Ji Liu, Bo Zeng, and Shuai Huang
IEEE Transactions on Automation Science and Engineering , IEEE, 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
https://www.ncbi.nlm.nih.gov/pubmed/28600248

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)
https://dl.acm.org/citation.cfm?id=3097997

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
http://ieeexplore.ieee.org/document/7866864/

An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease.
Chao Che*, Cao Xiao*, Jian Liang, Bo Jin, Jiayu Zhou, Fei Wang
SIAM International Conference on Data Mining (SDM), 2017
http://epubs.siam.org/doi/abs/10.1137/1.9781611974973.23

MELD-Na score predicts incident major cardiovascular events, in patients with nonalcoholic fatty liver disease (NAFLD). 
Simon T, Kartoun U, Zheng H, Chan A, Chung R, Shaw S, Corey K.
Hepatology Communications 2017.
http://onlinelibrary.wiley.com/doi/10.1002/hep4.1051/full

Predictive modeling of physician-patient dynamics that influence sleep medication prescriptions and clinical decision-making.
Beam AL, Kartoun U, Pai JK, Chatterjee AK, Fitzgerald TP, Shaw SY, Kohane IS. 
Scientific Reports 7:42282 (2017).
https://www.ncbi.nlm.nih.gov/pubmed/28181568
Harvard's press release: https://hms.harvard.edu/news/mental-shortcuts

Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.
Milos Radovic, Mohamed Ghalwash, Nenad Filipovic, Zoran Obradovic
BMC Bioinformatics, (2017)
https://www.ncbi.nlm.nih.gov/pubmed/28049413

Ranking Based Multitask Learning of Scoring Functions.
Stojkovic I, Ghalwash M, Obradovic Z.
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), Skopje, Macedonia, September 2017.
http://ecmlpkdd2017.ijs.si/papers/paperID637.pdf

Cost Sensitive Time-Series Classification.
Roychoudhury S, Ghalwash M, Obradovic Z.
Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML), Skopje, Macedonia, September 2017.
http://ecmlpkdd2017.ijs.si/papers/paperID652.pdf

A Fast Structured Regression for Large Networks.
Fang Zhou, Mohamed Ghalwash, Zoran Obradovic
Proc. The IEEE International Conference on Big Data 2016, Washington, DC USA, Dec. 2016.
http://ieeexplore.ieee.org/document/7840594/ 

Continuous Conditional Dependent Network for Structured Regression.
Chao Han, Mohamed Ghalwash, Zoran Obradovic
The Thirty-First AAAI Conference on Artificial Intelligence AAAI-17, San Francisco, California USA, Feb. 2017.
https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14777

Clinical Trials.Gov: A Topical Analyses.
Vibha Anand, Amos Cahan, Soumya Ghosh
AMIA Joint Summits, March 2017.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543348/

Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation.
C. Xiao, P. Zhang, W.Chaovalitwongse, J. Hu and F. Wang
The 31st AAAI Conference on Artificial Intelligence (AAAI 2017)
https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14282

Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction.
Jin, H. Yang,  C. Xiao, P. Zhang, and F. Wang.
The 31st AAAI Conference on Artificial Intelligence (AAAI 2017).
https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14292

Clustervision: Visual Supervision of Unsupervised Clustering.
Kwon BC, Eysenbach B, Verma J, Ng K, deFilippi C, Stewart WF, Perer A.
IEEE Trans Vis Comput Graph. 2017
https://www.ncbi.nlm.nih.gov/pubmed/28866567

Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
A Joshi, S Ghosh, M Betke, S Sclaroff, H Pfister
Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2017
http://openaccess.thecvf.com/content_cvpr_2017/html/Joshi_Personalizing_Gesture_Recognition_CVPR_2017_paper.html

Improving precision medicine using individual patient data from trials.
Cahan A, Cimino JJ.
CMAJ 2017 Feb 6;189(5):E204-E207. doi: 10.1503/cmaj.160267.

An exploration of latent structure in observational Huntington’s disease studies.
S Ghosh, Z Sun, Y Li, Y Cheng, A Mohan, C Sampaio, J Hu
American Medical Informatics Association (AMIA) Joint Summit on Translational Sciences, Clinical Research Informatics (CRI), 2017.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543350/

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 data4(3), 148--159, Mary Ann Liebert, Inc. 140 Huguenot Street, 3rd Floor New Rochelle, NY 10801 USA, 2016
Abstract

Early detection of heart failure using electronic health records: practical implications for time before diagnosis, data diversity, data quantity, and data density.
Ng K, Steinhubl SR, deFilippi C, Dey S, Stewart WF.
Circuation: Cardiovascular Quality and Outcomes. 2016;9:649-658.

Characterizing physicians practice phenotype from unstructured electronic health records.
Dey S, Wang Y, Byrd R, Ng K, Steinhubl S, deFilippi C, Stewart W
American Medical Informatics Association Annual Symposium (AMIA), 2016.

Data-driven prediction of beneficial drug combinations in spontaneous reporting systems.
Ying Li, Ping Zhang, Zhaonan Sun Jianying Hu
American Medical Informatics Association Annual Symposium (AMIA), 2016.

Integrated machine learning approaches for predicting ischemic stroke and thromboembolism in atrial fibrillation.
Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guotong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie
American Medical Informatics Association Annual Symposium (AMIA), 2016.

Predicting negative events: Using post-discharge data to detect high-risk patients.
Lina Sulieman, Daniel Fabbri, Fei Wang, Jianying Hu, Bradley Malin.
American Medical Informatics Association Annual Symposium (AMIA), 2016.

DPDR-CPI, a server that predicts drug positioning and drug repositioning via chemical-protein interactome.
Heng Luo, Ping Zhang, Xi Hang Cao, Dizheng Du, Hao Ye, Hui Huang, Can Li, Shengying Qin, Chunling Wan, Leming Shi, Lin He, Lun Yang
Scientific Reports, Nature Publishing Group, 2016.

Deep state space models for computational phenotyping.
Soumya Ghosh, Yu Cheng, and Zhaonan Sun
IEEE International Conference on Health Informatics (ICHI) 2016.

Correlating eligibility criteria generalizability and adverse events using Big Data for clinical trials.
Sen A, Ryan PB, Goldstein A, Chakrabarti S, Wang S, Koski E, Weng C.
Ann N Y Acad Sci. 2016 Sep 6. doi: 10.1111/nyas.13195.

Improving precision medicine using individual patient data from trials.
Cahan A, Cimino JJ.
CMAJ 2017 Feb 6;189(5):E204-E207. doi: 10.1503/cmaj.160267.

Using frequent item set mining and feature selection methods to identify interacted risk factors - The atrial fibrillation case study.
Xiang Li, Haifeng Liu, Xin Du, Gang Hu, Guotong Xie, Ping Zhang
Medical Informatics Europe (MIE), 2016.

Visual assessment of the similarity between a patient and trial population: Is this clinical trial applicable to my patient?
Cahan A, Cimino JJ.
Applied Clinical Informatics, 2016 Jun 8;7(2):477-488.

Predicting drug-drug interactions through large-scale similarity-based link prediction.
Achille Fokoue, Mohammad Sadoghi, Oktie Hassanzadeh, Ping Zhang
Extended Semantic Web Conference (ESWC), 2016

Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models
Krause J, Perer A, and Ng K.
Proceedings of the 2016 CHI Conference in Human Factors in Computing Systems, 2016

Integrating population-based patterns with personal routine to re-engage Fitbit use.
Chung C, Danis C.
Proceedings of PervasiveHealth 2016, 2016

Risk prediction with electronic health records: A deep learning approach.
Cheng Y, Wang F, Zhang P, Hu J.
SIAM International Conference on Data Mining (SDM), 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 2016 Jan;85(1):43-52, Elsevier.

Wearable technologies and telehealth in care management for chronic illness.
Zhu, Xinxin, and Cahan, Amos.
in Healthcare Information Management Systems
Charlotte A. Weaver, Marion J. Ball, George R. Kim, and Joan M. Kiel, Eds, Springer International Publishing, 2016.