Junyi Gao

About Junyi Gao

Junyi Gao, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Machine Learning, Data Mining, AI for healthcare.

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

Exploring the Relationship Between Dietary Intake and Clinical Outcomes in Peritoneal Dialysis Patients

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data

Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus

Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients

Pyhealth: A deep learning toolkit for healthcare applications

MFair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method

Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics

COVID Forecaster: Interactive Visualizations of COVID Forecasts with Deep Learning

Junyi Gao Information

University

Position

___

Citations(all)

594

Citations(since 2020)

592

Cited By

65

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Google Scholar

Junyi Gao Skills & Research Interests

Machine Learning

Data Mining

AI for healthcare

Top articles of Junyi Gao

Exploring the Relationship Between Dietary Intake and Clinical Outcomes in Peritoneal Dialysis Patients

2024/4/11

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data

arXiv preprint arXiv:2402.01713

2024/1/25

Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus

Journal of the American Medical Informatics Association

2024/1/1

Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients

Patterns

2023/12/8

Pyhealth: A deep learning toolkit for healthcare applications

2023/8/6

MFair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method

arXiv preprint arXiv:2306.04118

2023/6/7

Evidence-driven spatiotemporal COVID-19 hospitalization prediction with Ising dynamics

Nature communications

2023/5/29

COVID Forecaster: Interactive Visualizations of COVID Forecasts with Deep Learning

2022

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

2022/10/19

MedML: fusing medical knowledge and machine learning models for early pediatric COVID-19 hospitalization and severity prediction

Iscience

2022/9/16

The United States COVID-19 forecast hub dataset

Scientific data

2022/8/1

Popnet: Real-time population-level disease prediction with data latency

2022/4/25

Junyi Gao
Junyi Gao

H-Index: 6

Jimeng Sun
Jimeng Sun

H-Index: 57

Distilling knowledge from publicly available online EMR data to emerging epidemic for prognosis

2021/4/19

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

Journal of the American Medical Informatics Association

2021/4/1

COMPOSE: Cross-modal pseudo-siamese network for patient trial matching

2020/8/23

Junyi Gao
Junyi Gao

H-Index: 6

Jimeng Sun
Jimeng Sun

H-Index: 57

Covidcare: Transferring knowledge from existing emr to emerging epidemic for interpretable prognosis

arXiv preprint arXiv:2007.08848

2020/7/17

Dr. Agent: Clinical predictive model via mimicked second opinions

Journal of the American Medical Informatics Association

2020/7

Junyi Gao
Junyi Gao

H-Index: 6

Jimeng Sun
Jimeng Sun

H-Index: 57

Patient trial matching using pseudo-siamese network.

2020/5/20

Junyi Gao
Junyi Gao

H-Index: 6

Jimeng Sun
Jimeng Sun

H-Index: 57

Stagenet: Stage-aware neural networks for health risk prediction

2020/4/20

Adacare: Explainable clinical health status representation learning via scale-adaptive feature extraction and recalibration

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

See List of Professors in Junyi Gao University(University of Illinois at Urbana-Champaign)

Co-Authors

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