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Author Details

Jianying Hu
Center for Computational Health
2002
46
18
PMIDPaper TitleJournal TitlePublished Year
34870344A Machine-Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design.Mov Disord2022
36533588Corrections to "A Machine-Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design".Mov Disord2022
34870344A Machine-Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design.Mov Disord2022
35314671Progression of type 1 diabetes from latency to symptomatic disease is predicted by distinct autoimmune trajectories.Nat Commun2022
35308982Impact of Clinical and Genomic Factors on COVID-19 Disease Severity.AMIA Annu Symp Proc2022
36533588Corrections to "A Machine-Learning Derived Huntington's Disease Progression Model: Insights for Clinical Trial Design".Mov Disord2022
35314671Progression of type 1 diabetes from latency to symptomatic disease is predicted by distinct autoimmune trajectories.Nat Commun2022
35308982Impact of Clinical and Genomic Factors on COVID-19 Disease Severity.AMIA Annu Symp Proc2022
34112939Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases.NPJ Digit Med2021
33493631Disease network delineates the disease progression profile of cardiovascular diseases.J Biomed Inform2021
33856478Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression.JAMA Netw Open2021
34112939Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases.NPJ Digit Med2021
34334334Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning.Lancet Digit Health2021
33493631Disease network delineates the disease progression profile of cardiovascular diseases.J Biomed Inform2021
33856478Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression.JAMA Netw Open2021
34334334Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning.Lancet Digit Health2021
33215066Evaluating artificial intelligence in medicine: phases of clinical research.JAMIA Open2020
33215066Evaluating artificial intelligence in medicine: phases of clinical research.JAMIA Open2020
31419815Artificial Intelligence in Health in 2018: New Opportunities, Challenges, and Practical Implications.Yearb Med Inform2019
31984350A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data.JAMIA Open2019
31419815Artificial Intelligence in Health in 2018: New Opportunities, Challenges, and Practical Implications.Yearb Med Inform2019
31372505Artificial intelligence and machine learning in clinical development: a translational perspective.NPJ Digit Med2019
31259036G-Computation and Hierarchical Models for Estimating Multiple Causal Effects From Observational Disease Registries With Irregular Visits.AMIA Jt Summits Transl Sci Proc2019
31326235Artificial Intelligence for Clinical Trial Design.Trends Pharmacol Sci2019
31984350A probabilistic disease progression modeling approach and its application to integrated Huntington's disease observational data.JAMIA Open2019
31326235Artificial Intelligence for Clinical Trial Design.Trends Pharmacol Sci2019
31372505Artificial intelligence and machine learning in clinical development: a translational perspective.NPJ Digit Med2019
31259036G-Computation and Hierarchical Models for Estimating Multiple Causal Effects From Observational Disease Registries With Irregular Visits.AMIA Jt Summits Transl Sci Proc2019
29218867Cell-specific prediction and application of drug-induced gene expression profiles.Pac Symp Biocomput2018
30591036Predicting adverse drug reactions through interpretable deep learning framework.BMC Bioinformatics2018
29854234A Data-Driven Method for Generating Robust Symptom Onset Indicators in Huntington's Disease Registry Data.AMIA Annu Symp Proc2018
29218867Cell-specific prediction and application of drug-induced gene expression profiles.Pac Symp Biocomput2018
29792141Molecular Docking for Prediction and Interpretation of Adverse Drug Reactions.Comb Chem High Throughput Screen2018
29854234A Data-Driven Method for Generating Robust Symptom Onset Indicators in Huntington's Disease Registry Data.AMIA Annu Symp Proc2018
30591036Predicting adverse drug reactions through interpretable deep learning framework.BMC Bioinformatics2018
29792141Molecular Docking for Prediction and Interpretation of Adverse Drug Reactions.Comb Chem High Throughput Screen2018
28815114An Exploration of Latent Structure in Observational Huntington's Disease Studies.AMIA Jt Summits Transl Sci Proc2017
28815114An Exploration of Latent Structure in Observational Huntington's Disease Studies.AMIA Jt Summits Transl Sci Proc2017
28713293Predicting Future High-Cost Schizophrenia Patients Using High-Dimensional Administrative Data.Front Psychiatry2017
28269914Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients.AMIA Annu Symp Proc2017
28269877Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems.AMIA Annu Symp Proc2017
28269914Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients.AMIA Annu Symp Proc2017
28269877Data-Driven Prediction of Beneficial Drug Combinations in Spontaneous Reporting Systems.AMIA Annu Symp Proc2017
28713293Predicting Future High-Cost Schizophrenia Patients Using High-Dimensional Administrative Data.Front Psychiatry2017
27541627Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study.Big Data2016
27746858Retraction of A Graph Based Methodology for Temporal Signature Identification from EHR.AMIA Annu Symp Proc2016
27541627Identifying and Investigating Unexpected Response to Treatment: A Diabetes Case Study.Big Data2016
27746858Retraction of A Graph Based Methodology for Temporal Signature Identification from EHR.AMIA Annu Symp Proc2016
25445924Towards actionable risk stratification: a bilinear approach.J Biomed Inform2015
25445924Towards actionable risk stratification: a bilinear approach.J Biomed Inform2015
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Collaborators

Fei Wang
Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute
Co-authored papers 20
Ping Zhang
The Ohio State University
Co-authored papers 10
Kenney Ng
Center for Computational Health
Co-authored papers 6
Jimeng Sun
University of Illinois Urbana-Champaign.
Co-authored papers 6
Shahram Ebadollahi
Co-authored papers 5
Daby Sow
Center for Computational Health
Co-authored papers 4
Gretchen P Jackson
Vanderbilt University Medical Center
Co-authored papers 3
Adam Perer
Human-Computer Interaction Institute, Carnegie Mellon University
Co-authored papers 3
Walter F Stewart
Medcurio Inc.
Co-authored papers 2
Yoonyoung Park
Moderna Inc.
Co-authored papers 2
Steven R Steinhubl
Scripps Research Translational Institute
Co-authored papers 2
Hao-Chih Lee
Co-authored papers 1
Noah Lee
Yale University
Co-authored papers 1
Nicholas J Schork
University of California San Diego
Co-authored papers 1
Andrew F Laine
Columbia University
Co-authored papers 1
Lun Yang
Bio-X Institutes, Shanghai Jiao Tong University
Co-authored papers 1
Avi Ma'ayan
Icahn School of Medicine at Mount Sinai
Co-authored papers 1
Irene Dankwa-Mullan
& Center for AI
Co-authored papers 1
Qiaonan Duan
Co-authored papers 1
Bradley A Malin
Vanderbilt University
Co-authored papers 1
Bhavna J Antony
Monash University
Co-authored papers 1
Kristen A Severson
Center for Computational Health
Co-authored papers 1
Zichen Wang
Icahn School of Medicine at Mount Sinai
Co-authored papers 1
David Sontag
Co-authored papers 1
Zach Shahn
CUNY School of Public Health
Co-authored papers 1
David W Bates
Brigham and Women's Hospital Division of General Internal Medicine
Co-authored papers 1
Lina Sulieman
Vanderbilt University Medical Center
Co-authored papers 1
Joel T Dudley
Institute for Next Generation Healthcare
Co-authored papers 1
Daniel Fabbri
Vanderbilt University Medical Center
Co-authored papers 1
Kelly Jean Thomas Craig
Clinical Evidence Development, Center for AI
Co-authored papers 1
Release 1.2