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Author Details

Jie Xu
University of Florida Gainesville Florida USA.
2011
33
10
PMIDPaper TitleJournal TitlePublished Year
36039465Pediatric and adult asthma clinical phenotypes: a real world, big data study based on acute exacerbations.J Asthma2023
38077277Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records.Psychiatr Res Clin Pract2023
37577594Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer's Disease Using Electronic Health Records.medRxiv2023
37208478Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records.Sci Rep2023
37429512AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease.J Biomed Inform2023
37029117Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.Nat Commun2023
36815661Early prediction of Alzheimer's disease and related dementias using real-world electronic health records.Alzheimers Dement2023
36785842Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program.Environ Adv2023
36609415Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study.Sci Rep2023
36577203Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer's disease and related dementias.Int J Med Inform2023
36635438Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design.Sci Rep2023
36865304Excess burden of respiratory and abdominal conditions following COVID-19 infections during the ancestral and Delta variant periods in the United States: An EHR-based cohort study from the RECOVER Program.medRxiv2023
36456834Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes.Nat Med2023
34449356A(DP) <sup>2</sup>SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy.IEEE Trans Pattern Anal Mach Intell2022
35799370Design and validation of a FHIR-based EHR-driven phenotyping toolbox.J Am Med Inform Assoc2022
35725267Protocol for the development of a reporting guideline for causal and counterfactual prediction models in biomedicine.BMJ Open2022
35665007Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER Initiative.medRxiv2022
36263067Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER Program.medRxiv2022
33204939Federated Learning for Healthcare Informatics.J Healthc Inform Res2021
33400679Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.JMIR Med Inform2021
32817979Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.medRxiv2020
33083543Data-driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records.Learn Health Syst2020
33083540Subphenotyping depression using machine learning and electronic health records.Learn Health Syst2020
33083538Toward cross-platform electronic health record-driven phenotyping using Clinical Quality Language.Learn Health Syst2020
27392645Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.J Biomed Inform2016
26224336Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.J Am Med Inform Assoc2015
26306258A Modular Architecture for Electronic Health Record-Driven Phenotyping.AMIA Jt Summits Transl Sci Proc2015
26342218Desiderata for computable representations of electronic health records-driven phenotype algorithms.J Am Med Inform Assoc2015
24882059How different types of users develop trust in technology: a qualitative analysis of the antecedents of active and passive user trust in a shared technology.Appl Ergon2014
25411656Dynamic Comparison of Physicians' Interaction Style with Electronic Health Records in Primary Care Settings.J Gen Pract (Los Angel)2013
22192788Understanding active and passive users: the effects of an active user using normal, hard and unreliable technologies on user assessment of trust in technology and co-user.Appl Ergon2012
24855501Design Challenges and Guidelines for Persuasive Technologies that Facilitate Healthy Lifestyles.Comput Technol Appl2012
22046723Modeling eye gaze patterns in clinician-patient interaction with lag sequential analysis.Hum Factors2011
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Collaborators

Guoqian Jiang
Mayo Clinic Rochester Minnesota USA.
Co-authored papers 12
Jyotishman Pathak
Cornell University
Co-authored papers 12
Jennifer A Pacheco
University of Pennsylvania
Co-authored papers 11
Luke V Rasmussen
Northwestern University Feinberg School of Medicine
Co-authored papers 11
Enid Montague
University of Toronto
Co-authored papers 9
Richard C Kiefer
Mayo Clinic Rochester Minnesota USA.
Co-authored papers 8
Prakash Adekkanattu
Northwestern University
Co-authored papers 8
Pascal S Brandt
University of Washington Seattle Washington USA.
Co-authored papers 7
Elizabeth A Shenkman
University of Florida
Co-authored papers 7
Yuan Luo
Northwestern University Feinberg School of Medicine
Co-authored papers 6
Thomas W Carton
Louisiana Public Health Institute
Co-authored papers 6
Mark G Weiner
Weill Cornell Medical College
Co-authored papers 6
Yi Guo
University of Florida College of Medicine
Co-authored papers 4
Russell L Rothman
Vanderbilt University School of Medicine
Co-authored papers 4
Joshua C Denny
Vanderbilt University
Co-authored papers 4
Huan Mo
University of Texas MD Anderson Cancer Center
Co-authored papers 4
William K Thompson
Feinberg School of Medicine, Northwestern University
Co-authored papers 4
Benjamin S Glicksberg
Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai
Co-authored papers 3
Chengsheng Mao
Northwestern University
Co-authored papers 3
Qian Zhu
University of Maryland Baltimore County
Co-authored papers 3
Jiang Bian
College of Medicine, University of Florida
Co-authored papers 3
Fei Wang
Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute
Co-authored papers 3
Yiye Zhang
NYP Weill Cornell Medical Center, NewYork-Presbyterian Hospital
Co-authored papers 3
Peter Speltz
Vanderbilt University Medical Center
Co-authored papers 3
Girish N Nadkarni
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Christopher G Chute
Brown University, Brown University Warren Alpert Medical School, Dartmouth-Hitchcock Medical Center, Harvard School of Public Health, Johns Hopkins Medicine, Mayo Clinic Minnesota
Co-authored papers 2
Riccardo Miotto
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Jessica K De Freitas
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Zahi A Fayad
Co-authored papers 2
Kipp W Johnson
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