Jie Xu

Jie Xu

Cornell University

H-index: 15

North America-United States

About Jie Xu

Jie Xu, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Cornell University, specializes in the field of Machine Learning, Data Mining, Health Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Real-World Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents

An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer's Disease Using UK Biobank

Corticosteroids for infectious critical illness: A multicenter target trial emulation stratified by predicted organ dysfunction trajectory

Develop and Validate a Computable Phenotype for the Identification of Alzheimer's Disease Patients Using Electronic Health Record Data

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias

Pediatric and adult asthma clinical phenotypes: a real world, big data study based on acute exacerbations

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Jie Xu Information

University

Position

Department of Population Health Sciences Weill Cornell Medicine

Citations(all)

1527

Citations(since 2020)

1483

Cited By

230

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Jie Xu Skills & Research Interests

Machine Learning

Data Mining

Health Informatics

Top articles of Jie Xu

Title

Journal

Author(s)

Publication Date

Real-World Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents

Annals of Internal Medicine

Qiong Wu

Jiayi Tong

Bingyu Zhang

Dazheng Zhang

Jiajie Chen

...

2023/6/20

An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer's Disease Using UK Biobank

medRxiv

Weimin Meng

Rohit Inampudi

Xiang Zhang

Jie Xu

Yu Huang

...

2024

Corticosteroids for infectious critical illness: A multicenter target trial emulation stratified by predicted organ dysfunction trajectory

medRxiv

Suraj Rajendran

Zhenxing Xu

Weishen Pan

Chengxi Zang

Ilias Siempos

...

2024

Develop and Validate a Computable Phenotype for the Identification of Alzheimer's Disease Patients Using Electronic Health Record Data

medRxiv

Xing He

Ruoqi Wei

Yu Huang

Zhaoyi Chen

Tianchen Lyu

...

2024

Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site study

Scientific Reports

Prakash Adekkanattu

Luke V Rasmussen

Jennifer A Pacheco

Joseph Kabariti

Daniel J Stone

...

2023/1/6

Assess the documentation of cognitive tests and biomarkers in electronic health records via natural language processing for Alzheimer’s disease and related dementias

International Journal of Medical Informatics

Zhaoyi Chen

Hansi Zhang

Xi Yang

Songzi Wu

Xing He

...

2023/2/1

Pediatric and adult asthma clinical phenotypes: a real world, big data study based on acute exacerbations

Journal of Asthma

Jie Xu

Jiang Bian

Jennifer N Fishe

2023/5/4

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

Psychiatric Research and Clinical Practice

Zhenxing Xu

Veer Vekaria

Fei Wang

Judith Cukor

Chang Su

...

2023/12

AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease

Journal of Biomedical Informatics

Chengsheng Mao

Jie Xu

Luke Rasmussen

Yikuan Li

Prakash Adekkanattu

...

2023/8/1

Machine learning enabled subgroup analysis with real-world data to inform clinical trial eligibility criteria design

Scientific Reports

Jie Xu

Hao Zhang

Hansi Zhang

Jiang Bian

Fei Wang

2023/1/12

Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative

Nature Communications

Chengxi Zang

Yongkang Zhang

Jie Xu

Jiang Bian

Dmitry Morozyuk

...

2023/4/7

Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records

Alzheimer's & Dementia

Qian Li

Xi Yang

Jie Xu

Yi Guo

Xing He

...

2023/8

Association of Medicaid expansion with 2‐year survival and time to treatment initiation in gastrointestinal cancer patients: A National Cancer Database study

Journal of Surgical Oncology

Erin M Mobley

Guanming Chen

Jie Xu

Lauren Edgar

Keouna Pather

...

2023/10/2

Quantifying Health Outcome Disparity in Invasive Methicillin-Resistant Staphylococcus aureus Infection using Fairness Algorithms on Real-World Data

Inyoung Jun

Sarah E Ser

Scott A Cohen

Jie Xu

Robert J Lucero

...

2023

Identifying environmental risk factors for post-acute sequelae of SARS-CoV-2 infection: An EHR-based cohort study from the recover program

Environmental Advances

Yongkang Zhang

Hui Hu

Vasilios Fokaidis

Jie Xu

Chengxi Zang

...

2023/4/1

Classification of Benign and Malignant Renal Tumors Based on CT Scans and Clinical Data Using Machine Learning Methods

Informatics

Jie Xu

Xing He

Wei Shao

Jiang Bian

Russell Terry

2023/7/3

A translational perspective towards clinical AI fairness

Mingxuan Liu

Yilin Ning

Salinelat Teixayavong

Mayli Mertens

Jie Xu

...

2023/9/14

Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer’s Disease Using Electronic Health Records

AMIA Annual Symposium Proceedings

Jie Xu

Rui Yin

Yu Huang

Hannah Gao

Yonghui Wu

...

2023

Risk Factors and Predictive Modeling for Post-Acute Sequelae of SARS-CoV-2 Infection: Findings from EHR Cohorts of the RECOVER Initiative

Research Square

Chengxi Zang

Yu Hou

Edward Schenck

Zhenxing Xu

Yongkang Zhang

...

2023/3/8

Quantification of Racial Disparity on Urinary Tract Infection Recurrence and Treatment Resistance in Florida using Algorithmic Fairness Methods

Inyoung Jun

Sarah Ser

Jie Xu

Jiang Bian

Mattia Prosperi

2023/6/26

See List of Professors in Jie Xu University(Cornell University)

Co-Authors

H-index: 87
Xinbo Gao(高新波)

Xinbo Gao(高新波)

Xidian University

H-index: 80
Fei Wang, FAMIA, FIAHSI, FACMI

Fei Wang, FAMIA, FIAHSI, FACMI

Cornell University

H-index: 53
Cheng Deng (邓成)

Cheng Deng (邓成)

Xidian University

H-index: 39
Jiang Bian

Jiang Bian

University of Florida

H-index: 18
Zhenxing Xu

Zhenxing Xu

Cornell University

H-index: 14
Chang Su

Chang Su

Cornell University

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