Jyotishman Pathak

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 86

Top Venues

AMIA

J. Am. Medical Informatics Assoc.

CoRR

J. Biomed. Informatics

Publications

Zehao Yu, Cheng Peng, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. J. Biomed. Informatics 153 (2024)
Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar, Veer Vekaria, Mohit Manoj Sharma, Prakash Adekkanattu, Brian Fennessy, Gavin Hynes, Isotta Landi, Jorge A. Sanchez-Ruiz, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Ardesheer Talati, Myrna Weissman, Mark Olfson, J. John Mann, Alexander W. Charney, Jyotishman Pathak
Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model. CoRR (2024)
Pooja M. Desai, Sarah Harkins, Saanjaana Rahman, Shiveen Kumar, Alison Hermann, Rochelle Joly, Yiye Zhang, Jyotishman Pathak, Jessica Kim, Deborah D'angelo, Natalie C. Benda, Meghan Reading Turchioe
Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. J. Am. Medical Informatics Assoc. 31 (2) (2024)
Yifan Liu, Rochelle Joly, Meghan Reading Turchioe, Natalie C. Benda, Alison Hermann, Ashley Beecy, Jyotishman Pathak, Yiye Zhang
Preparing for the bedside - optimizing a postpartum depression risk prediction model for clinical implementation in a health system. J. Am. Medical Informatics Assoc. 31 (6) (2024)
Song Wang, Yifang Dang, Zhaoyi Sun, Ying Ding, Jyotishman Pathak, Cui Tao, Yunyu Xiao, Yifan Peng
An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives. J. Am. Medical Informatics Assoc. 30 (8) (2023)
Reshma Kar, Vijay Kumar Reddy Voddi, Braja Gopal Patra, Jyotishman Pathak
CoRL: A Cost-Responsive Learning Optimizer for Neural Networks. SMC (2023)
Pascal S. Brandt, Abel N. Kho, Yuan Luo, Jennifer A. Pacheco, Theresa L. Walunas, Hakon Hakonarson, George Hripcsak, Cong Liu, Ning Shang, Chunhua Weng, Nephi Walton, David S. Carrell, Paul K. Crane, Eric B. Larson, Christopher G. Chute, Iftikhar J. Kullo, Robert J. Carroll, Joshua C. Denny, Andrea H. Ramirez, Wei-Qi Wei, Jyotishman Pathak, Laura K. Wiley, Rachel L. Richesson, Justin B. Starren, Luke V. Rasmussen
Characterizing variability of electronic health record-driven phenotype definitions. J. Am. Medical Informatics Assoc. 30 (3) (2023)
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Li Shen, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease. J. Biomed. Informatics 144 (2023)
Thomas R. Campion Jr., Evan Sholle, Jyotishman Pathak, Stephen B. Johnson, John Leonard, Curtis L. Cole
An architecture for research computing in health to support clinical and translational investigators with electronic patient data. J. Am. Medical Informatics Assoc. 29 (4) (2022)
Pascal S. Brandt, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Sajjad Abedian, Daniel J. Stone, David Knaack, Jie Xu, Zhenxing Xu, Yifan Peng, Natalie C. Benda, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
Design and validation of a FHIR-based EHR-driven phenotyping toolbox. J. Am. Medical Informatics Assoc. 29 (9) (2022)
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Yikuan Li, Prakash Adekkanattu, Jennifer A. Pacheco, Borna Bonakdarpour, Robert Vassar, Guoqian Jiang, Fei Wang, Jyotishman Pathak, Yuan Luo
AD-BERT: Using Pre-trained contextualized embeddings to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease. CoRR (2022)
Meghan Reading Turchioe, Winston Guo, Alexander Volodarskiy, Brittany Taylor, Mollie Hobensack, David Slotwiner, Jyotishman Pathak
Developing a disease-specific symptom vocabulary for natural language processing. AMIA (2022)
Zehao Yu, Xi Yang, Chong Dang, Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching-Yuan Chang, Wei-Hsuan Lo-Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
SODA: A Natural Language Processing Package to Extract Social Determinants of Health for Cancer Studies. CoRR (2022)
Andrew Wen, Luke V. Rasmussen, Daniel J. Stone, Sijia Liu, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Yuan Luo, Fei Wang, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation. AMIA (2021)
Prakash Adekkanattu, Jennifer A. Pacheco, Joseph Kabariti, Daniel J. Stone, Yue Yu, Parag Goyal, Faraz S. Ahmad, Guoqian Jiang, Yuan Luo, Luke V. Rasmussen, Pascal S. Brandt, Zhenxing Xu, Jie Xu, Fei Wang, Natalie C. Benda, Thomas R. Campion Jr., Jyotishman Pathak
Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping. AMIA (2021)
Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Alison Hermann, Rochelle Joly, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang
Deep Significance Clustering (DICE) a Heterogenous Population. AMIA (2021)
Chengsheng Mao, Jie Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Guoqian Jiang, Fei Wang, Richard Isaacson, Jyotishman Pathak, Yuan Luo
A Deep Learning Framework Using a Pre-trained BERT Model to Predict the Risk of Progression from Mild Cognitive Impairment to Alzheimer's Disease. AMIA (2021)
Natalie C. Benda, Pascal S. Brandt, Jessica S. Ancker, Jennifer A. Pacheco, Prakash Adekkanattu, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
Supporting EHR-based Cohort Discovery Through User-centered Design: Results of an Early Formative Usability Study. AMIA (2021)
Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. CoRR (2021)
Yufang Huang, Yifan Liu, Peter A. D. Steel, Kelly M. Axsom, John R. Lee, Sri Lekha Tummalapalli, Fei Wang, Jyotishman Pathak, Lakshminarayanan Subramanian, Yiye Zhang
Deep significance clustering: a novel approach for identifying risk-stratified and predictive patient subgroups. J. Am. Medical Informatics Assoc. 28 (12) (2021)
Lauren A. Lepow, Braja Gopal Patra, Isotta Landi, Prakash Adekkanattu, Jyotishman Pathak, Mark Olfson, J. John Mann, Euijung Ryu, Joanna M. Biernacka, Girish N. Nadkarni, Priya Wickramaratne, Myrna Weissman, Benjamin S. Glicksberg, Alexander Charney
Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records. AMIA (2021)
Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. AMIA (2021)
Daniel J. Stone, Sijia Liu, Yuan Luo, Andrew Wen, Nansu Zong, Luke V. Rasmussen, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Fei Wang, Cui Tao, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR. AMIA (2021)
Braja Gopal Patra, Mohit M. Sharma, Veer Vekaria, Prakash Adekkanattu, Olga V. Patterson, Benjamin S. Glicksberg, Lauren A. Lepow, Euijung Ryu, Joanna M. Biernacka, Al'ona Furmanchuk, Thomas J. George, William R. Hogan, Yonghui Wu, Xi Yang, Jiang Bian, Myrna Weissman, Priya Wickramaratne, J. John Mann, Mark Olfson, Thomas R. Campion Jr., Mark G. Weiner, Jyotishman Pathak
Extracting social determinants of health from electronic health records using natural language processing: a systematic review. J. Am. Medical Informatics Assoc. 28 (12) (2021)
Mohit Manoj Sharma, Yonaka Harris, Yiye Zhang, Jyotishman Pathak
Prescribing Pharmacogenomics Testing: Analyzing the Acceptance of Healthcare Providers through a Survey Study. AMIA (2021)
Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. CoRR (2021)
Annie C. Myers, Fariha Ahsan, Rochelle Joly, Alison Hermann, Yiye Zhang, Michael Laskoff, Jyotishman Pathak, Meghan Reading Turchioe
Provider perspectives on the clinical utility of using a risk prediction tool for postpartum depression. AMIA (2020)
Jie Xu, Fei Wang, Zhenxing Xu, Prakash Adekkanattu, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Chengsheng Mao, Jennifer A. Pacheco, Luke V. Rasmussen, Yiye Zhang, Richard Isaacson, Jyotishman Pathak
Identification of Alzheimer's Disease Subtypes from Electronic Health Records Using a Data-Driven Approach. AMIA (2020)
Annie C. Myers, Lewis Chesebrough, Ruixuan Hu, Meghan Reading Turchioe, Jyotishman Pathak, Ruth Masterson Creber
Evaluating Commercially Available Mobile Apps for Depression Self-Management. AMIA (2020)
Wenna Xi, Samprit Banerjee, Robert B. Penfold, Gregory E. Simon, George Alexopoulos, Jyotishman Pathak
Healthcare Contacts Among Patients with Psychiatric Hospitalization Admitted Through the Emergency Department. AMIA (2020)
Vaibhav Sourirajan, Anas Belouali, Mary Ann Dutton, Matthew J. Reinhard, Jyotishman Pathak
A Machine Learning Approach to Detect Suicidal Ideation in US Veterans Based on Acoustic and Linguistic Features of Speech. CoRR (2020)
Pascal S. Brandt, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Evan Sholle, Faraz S. Ahmad, Jie Xu, Zhenxing Xu, Jessica S. Ancker, Fei Wang, Yuan Luo, Guoqian Jiang, Jyotishman Pathak, Luke V. Rasmussen
Feasibility of Cross-Platform EHR-Driven Phenotyping Using Clinical Quality Language. AMIA (2020)
Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak
Comparing Suicide Risk Insights derived from Clinical and Social Media data. CoRR (2020)
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. J. Biomed. Informatics 102 (2020)
Lisa Grossman Liu, Meghan Reading Turchioe, Annie C. Myers, Jyotishman Pathak, David K. Vawdrey, Ruth Masterson Creber
Visual Rating Scales for Patient-Reported Outcome Measurement: A National Validation Study. AMIA (2020)
Marika M. Cusick, Prakash Adekkanattu, Thomas R. Campion Jr., Evan Sholle, Annie C. Myers, George Alexopoulos, Jyotishman Pathak
Weak Supervision to Classify Unstructured Clinical Text for Current Suicidal Ideation. AMIA (2020)
Luke V. Rasmussen, Pascal S. Brandt, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Prakash Adekkanattu, Jessica S. Ancker, Fei Wang, Zhenxing Xu, Jyotishman Pathak, Yuan Luo
Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms. AMIA (2019)
Joseph J. DeFerio, Scott Breitinger, Dhruv Khullar, Amit P. Sheth, Jyotishman Pathak
Social determinants of health in mental health care and research: a case for greater inclusion. J. Am. Medical Informatics Assoc. 26 (8-9) (2019)
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
Developing a portable natural language processing based phenotyping system. BMC Medical Informatics Decis. Mak. (3) (2019)
Joseph J. DeFerio, Annie C. Myers, John M. Meddar, Judith Cukor, Jyotishman Pathak
Collecting Individual-Level Social Determinants of Health to Inform Patient-Centered Outcomes Research in Mental Health. AMIA (2019)
Shuojia Wang, Jyotishman Pathak, Yiye Zhang
Using Electronic Health Records and Machine Learning to Predict Postpartum Depression. MedInfo (2019)
Vasa Curcin, Elizabeth Ford, Jyotishman Pathak, Goran Nenadic
Using Social Media to Study Mental Health Conditions - Challenges and Opportunities. AMIA (2019)
Evan Sholle, Orrin Belden, Jaclyn Rosenzweig, Jennifer Levine, Joseph Kabariti, Thomas R. Campion Jr., Jyotishman Pathak
Validation of a Computable Phenotype for Site-Specific Cancer Treatment. AMIA (2019)
Yiye Zhang, Yonaka Harris, George Alexopoulos, Adam Stracher, Elizabeth Ross, Rainu Kaushal, Jyotishman Pathak
A Survey of Clinicians' Perception of Pharmacogenomics Testing for Antidepressants. AMIA (2019)
Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. AMIA (2019)
Amanuel Alambo, Manas Gaur, Usha Lokala, Ugur Kursuncu, Krishnaprasad Thirunarayan, Amelie Gyrard, Amit P. Sheth, Randon S. Welton, Jyotishman Pathak
Question Answering for Suicide Risk Assessment Using Reddit. ICSC (2019)
Yongjun Zhu, Olivier Elemento, Jyotishman Pathak, Fei Wang
Drug knowledge bases and their applications in biomedical informatics research. Briefings Bioinform. 20 (4) (2019)
Evan Sholle, Laura C. Pinheiro, Prakash Adekkanattu, Marcos Davila, Stephen B. Johnson, Jyotishman Pathak, Sanjai Sinha, Cassidie Li, Stasi A Lubansky, Monika M. Safford, Thomas R. Campion Jr.
Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation. J. Am. Medical Informatics Assoc. 26 (8-9) (2019)
Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. MedInfo (2019)
Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, William L. Romine, Amirhassan Monadjemi, Krishnaprasad Thirunarayan, Amit P. Sheth, Jyotishman Pathak
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health. CoRR (2019)
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang, Yuan Luo, Tamara Isakova, Prakash Adekkanattu, Jessica S. Ancker, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Luke V. Rasmussen, Jyotishman Pathak, Fei Wang
Identification of Predictive Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks. CoRR (2019)
Prakash Adekkanattu, Guoqian Jiang, Yuan Luo, Paul R. Kingsbury, Zhenxing Xu, Luke V. Rasmussen, Jennifer A. Pacheco, Richard C. Kiefer, Daniel J. Stone, Pascal S. Brandt, Liang Yao, Yizhen Zhong, Yu Deng, Fei Wang, Jessica S. Ancker, Thomas R. Campion Jr., Jyotishman Pathak
Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study. CoRR (2019)
Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit P. Sheth, Randy S. Welton, Jyotishman Pathak
Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. WWW (2019)
Na Hong, Andrew Wen, Daniel J. Stone, Shintaro Tsuji, Paul R. Kingsbury, Luke V. Rasmussen, Jennifer A. Pacheco, Prakash Adekkanattu, Fei Wang, Yuan Luo, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang
Developing a FHIR-based EHR phenotyping framework: A case study for identification of patients with obesity and multiple comorbidities from discharge summaries. J. Biomed. Informatics 99 (2019)
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. ICHI (2018)
Prakash Adekkanattu, Evan Sholle, Joseph J. DeFerio, Jyotishman Pathak, Stephen B. Johnson, Thomas R. Campion Jr.
Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes. AMIA (2018)
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
Developing a Portable Natural Language Processing Based Phenotyping System. CoRR (2018)
Cody M. Phelps, Trisha R. Sanghvi, Ningrui Zhang, Joseph J. DeFerio, Jyotishman Pathak
Using EHRs to assess gender differences in the utilization of mental health services for patients diagnosed with major depression. AMIA (2018)
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke V. Rasmussen, Guoqian Jiang, Jyotishman Pathak, Yuan Luo
Portable Phenotyping System: A Portable Machine-Learning Approach to i2b2 Obesity Challenge. ICHI Workshops (2018)
Manas Gaur, Ugur Kursuncu, Amanuel Alambo, Amit P. Sheth, Raminta Daniulaityte, Krishnaprasad Thirunarayan, Jyotishman Pathak
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention. CIKM (2018)
Jennifer A. Pacheco, Luke V. Rasmussen, Richard C. Kiefer, Thomas R. Campion Jr., Peter Speltz, Robert J. Carroll, Sarah C. Stallings, Huan Mo, Monika Ahuja, Guoqian Jiang, Eric R. LaRose, Peggy L. Peissig, Ning Shang, Barbara Benoit, Vivian S. Gainer, Kenneth Borthwick, Kathryn L. Jackson, Ambrish Sharma, Andy Yizhou Wu, Abel N. Kho, Dan M. Roden, Jyotishman Pathak, Joshua C. Denny, William K. Thompson
A case study evaluating the portability of an executable computable phenotype algorithm across multiple institutions and electronic health record environments. J. Am. Medical Informatics Assoc. 25 (11) (2018)
Jessica S. Ancker, Min-hyung Kim, Yiye Zhang, Yongkang Zhang, Jyotishman Pathak
The potential value of social determinants of health in predicting health outcomes. J. Am. Medical Informatics Assoc. 25 (8) (2018)
Min-hyung Kim, Samprit Banerjee, Yize Zhao, Fei Wang, Yiye Zhang, Yongjun Zhu, Joseph DeFerio, Lauren Evans, Sang Min Park, Jyotishman Pathak
Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls. J. Biomed. Informatics 87 (2018)
Joseph J. DeFerio, Evan Sholle, Kathleen Lee, Jyotishman Pathak
Methods for Integrating EHRs, Social Determinants of Health, and Built Environment Data for Patient-Centered Research. AMIA (2018)
Amir Hossein Yazdavar, Mohammad Saeid Mahdavinejad, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Mental Health Analysis Via Social Media Data. ICHI (2018)
Peter Speltz, Luke V. Rasmussen, Richard C. Kiefer, Jennifer A. Pacheco, William Thompson, Guoqian Jiang, Jyotishman Pathak, Joshua C. Denny
The Phenotype Execution and Modeling Architecture: A Roadmap Towards Next-generation Phenotyping Using EHRs. AMIA (2017)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. CoRR (2017)
Kathleen Lee, Nicole Gray Weiskopf, Jyotishman Pathak
A Framework for Data Quality Assessment in Clinical Research Datasets. AMIA (2017)
Richard C. Kiefer, Luke V. Rasmussen, Jennifer A. Pacheco, Peter Speltz, Joshua C. Denny, William K. Thompson, Jyotishman Pathak, Guoqian Jiang
Leveraging Value Sets from the Value Set Authority Center (VSAC) in a Standards-Based Clinical Data Repository. AMIA (2017)
Che Ngufor, Dennis H. Murphree, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor
Multitask LS-Svm for Predicting Bleeding and Re-operation Due to Bleeding. ICHI (2017)
Ioakeim Perros, Fei Wang, Ping Zhang, Peter B. Walker, Richard W. Vuduc, Jyotishman Pathak, Jimeng Sun
Polyadic Regression and its Application to Chemogenomics. SDM (2017)
Evan Sholle, Joseph Kabariti, Stephen B. Johnson, John Leonard, Jyotishman Pathak, Vinay I. Varughese, Curtis L. Cole, Thomas R. Campion Jr.
Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers. AMIA (2017)
Mingjie Qian, Jyotishman Pathak, Naveen L. Pereira, Chengxiang Zhai
Temporal reflected logistic regression for probabilistic heart failure survival score prediction. BIBM (2017)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit P. Sheth
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. ASONAM (2017)
Deepak K. Sharma, Harold R. Solbrig, Eric Prud'hommeaux, Kathleen Lee, Jyotishman Pathak, Guoqian Jiang
D2Refine: A Platform for Clinical Research Study Data Element Harmonization and Standardization. CRI (2017)
Guoqian Jiang, William K. Thompson, Luke V. Rasmussen, Richard C. Kiefer, Jennifer A. Pacheco, Huan Mo, Peter Speltz, Joshua C. Denny, Jyotishman Pathak
An NLP Extension to the Quality Data Model for EHR-Driven Phenotype Algorithm Authoring and Execution. AMIA (2016)
Vahid Taslimitehrani, Guozhu Dong, Naveen L. Pereira, Maryam Panahiazar, Jyotishman Pathak
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function. J. Biomed. Informatics 60 (2016)
Na Hong, Jyotishman Pathak, Christopher G. Chute, Guoqian Jiang
Developing a modular architecture for creation of rule-based clinical diagnostic criteria. BioData Min. 9 (2016)
Rachel L. Richesson, Jimeng Sun, Jyotishman Pathak, Abel N. Kho, Joshua C. Denny
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods. Artif. Intell. Medicine 71 (2016)
Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Jyotishman Pathak, Rickey E. Carter, Daryl J. Kor
Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion. AMIA (2016)
Deepak K. Sharma, Harold R. Solbrig, Eric Prud'hommeaux, Jyotishman Pathak, Guoqian Jiang
Standardized Representation of Clinical Study Data Dictionaries with CIMI Archetypes. AMIA (2016)
Casey L. Overby, John J. Connolly, Christopher G. Chute, Joshua C. Denny, Robert R. Freimuth, Andrea L. Hartzler, Ingrid A. Holm, Shannon F. Manzi, Jyotishman Pathak, Peggy L. Peissig, Maureen E. Smith, Marc S. Williams, Brian H. Shirts, Elena M. Stoffel, Peter Tarczy-Hornoch, Carolyn Rohrer Vitek, Wendy A. Wolf, Justin Starren, Luke V. Rasmussen
Practical considerations for implementing genomic information resources. Appl. Clin. Inform. 7 (03) (2016)
Huan Mo, Guoqian Jiang, Jennifer A. Pacheco, Richard C. Kiefer, Luke V. Rasmussen, Jyotishman Pathak, Joshua C. Denny, William Thompson
A Decompositional Approach to Executing Quality Data Model Algorithms on the i2b2 Platform. CRI (2016)
Min-hyung Kim, Samprit Banerjee, Sang Min Park, Jyotishman Pathak
Improving risk prediction for depression via Elastic Net regression - Results from Korea National Health Insurance Services Data. AMIA (2016)
Jacqueline Kirby, Peter Speltz, Luke V. Rasmussen, Melissa A. Basford, Omri Gottesman, Peggy L. Peissig, Jennifer A. Pacheco, Gerard Tromp, Jyotishman Pathak, David S. Carrell, Stephen B. Ellis, Todd Lingren, William K. Thompson, Guergana Savova, Jonathan L. Haines, Dan M. Roden, Paul A. Harris, Joshua C. Denny
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability. J. Am. Medical Informatics Assoc. 23 (6) (2016)
Guoqian Jiang, Richard C. Kiefer, Luke V. Rasmussen, Harold R. Solbrig, Huan Mo, Jennifer A. Pacheco, Jie Xu, Enid N. H. Montague, William K. Thompson, Joshua C. Denny, Christopher G. Chute, Jyotishman Pathak
Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution. J. Biomed. Informatics 62 (2016)
Guoqian Jiang, Harold R. Solbrig, Richard C. Kiefer, Luke V. Rasmussen, Huan Mo, Peter Speltz, William K. Thompson, Joshua C. Denny, Christopher G. Chute, Jyotishman Pathak
A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. MedInfo (2015)
Na Hong, Guoqian Jiang, Jyotishman Pathak, Christopher G. Chute
Developing a Modular Architecture for Creation of Rule-based Clinical Diagnostic Criteria. BDM2I@ISWC (2015)
Dennis H. Murphree, Leanne Clifford, Yaxiong Lin, Nagesh Madde, Che Ngufor, Sudhindra Upadhyaya, Jyotishman Pathak, Daryl J. Kor
Predicting Adverse Reactions to Blood Transfusion. ICHI (2015)
Enid N. H. Montague, Jie Xu, Luke V. Rasmussen, Joshua C. Denny, Guoqian Jiang, Richard C. Kiefer, Jennifer A. Pacheco, Peter Speltz, William K. Thompson, Jyotishman Pathak
Usability of a phenotype builder prototype and lessons learned for the design of phenotyping tools. AMIA (2015)
Yoonjung Y. Joo, Jennifer A. Pacheco, Loren L. Armstrong, William K. Thompson, Robert J. Carroll, Joshua C. Denny, Peggy L. Peissig, James G. Linneman, Jyotishman Pathak, Girish N. Nadkarni, Laura Rasmussen-Torvik, M. Geoffrey Hayes, Abel N. Kho
A Genome- and Phenome- Wide Study of Diverticulosis. AMIA (2015)
Che Ngufor, Janusz Wojtusiak, Jyotishman Pathak
A Systematic Prediction of Adverse Drug Reactions Using Pre-clinical Drug Characteristics and Spontaneous Reports. ICHI (2015)
Che Ngufor, Dennis Murphree, Sudhindra Upadhyaya, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak
Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach. MedInfo (2015)
Guoqian Jiang, Harold R. Solbrig, Richard C. Kiefer, Luke V. Rasmussen, Huan Mo, Jennifer A. Pacheco, Enid N. H. Montague, Jie Xu, Peter Speltz, William K. Thompson, Joshua C. Denny, Christopher G. Chute, Jyotishman Pathak
Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study. AMIA (2015)
Matthew K. Breitenstein, Richard M. Weinshilboum, Jyotishman Pathak, Liewei Wang
Developing Intermediary Medication Phenotypes via Metabolomics Biotechnology Using an Electronic Health Record-Linked Biobank. AMIA (2015)
Jie Xu, Luke V. Rasmussen, Pamela L. Shaw, Guoqian Jiang, Richard C. Kiefer, Huan Mo, Jennifer A. Pacheco, Peter Speltz, Qian Zhu, Joshua C. Denny, Jyotishman Pathak, William K. Thompson, Enid N. H. Montague
Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research. J. Am. Medical Informatics Assoc. 22 (6) (2015)
Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Daryl J. Kor, Jyotishman Pathak
Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes. DSAA (2015)
Guoqian Jiang, Harold R. Solbrig, Jyotishman Pathak, Christopher G. Chute
Developing a Standards-Based Information Model for Representing Computable Diagnostic Criteria: A Feasibility Study of the NQF Quality Data Model. MedInfo (2015)
Che Ngufor, Sudhindra Upadhyaya, Dennis Murphree, Nageswar Madde, Daryl J. Kor, Jyotishman Pathak
A Heterogeneous Multi-Task Learning for Predicting RBC Transfusion and Perioperative Outcomes. AIME (2015)
Dennis Murphree, Che Ngufor, Sudhindra Upadhyaya, Nageswar Madde, Leanne Clifford, Daryl J. Kor, Jyotishman Pathak
Ensemble learning approaches to predicting complications of blood transfusion. EMBC (2015)

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Jyotishman Pathak