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Author Details
Full Name
Yong Hu
Affiliation
Big Data Decision Institute, Jinan University
ORCID
Career Start Year
2014
Papers
23
H Index
9
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36350705
A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study.
JMIR Med Inform
2022
35504130
Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis.
Int J Med Inform
2022
35796212
Development and Validation of a Personalized Model With Transfer Learning for Acute Kidney Injury Risk Estimation Using Electronic Health Records.
JAMA Netw Open
2022
36816520
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data.
Int J Intell Syst
2022
36691617
Protein-ligand binding affinity prediction with edge awareness and supervised attention.
iScience
2022
34116627
Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes.
BMC Bioinformatics
2021
34915319
Development of a knowledge mining approach to uncover heterogeneous risk predictors of acute kidney injury across age groups.
Int J Med Inform
2021
32477684
The Impact of Medical Big Data Anonymization on Early Acute Kidney Injury Risk Prediction.
AMIA Jt Summits Transl Sci Proc
2020
32012067
Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study.
JMIR Med Inform
2020
33168827
Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction.
Nat Commun
2020
32741377
Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study.
BMC Nephrol
2020
32961504
Which risk predictors are more likely to indicate severe AKI in hospitalized patients?
Int J Med Inform
2020
30602020
Robust clinical marker identification for diabetic kidney disease with ensemble feature selection.
J Am Med Inform Assoc
2019
31259027
An exploration of ontology-based EMR data abstraction for diabetic kidney disease prediction.
AMIA Jt Summits Transl Sci Proc
2019
30976758
Multi-perspective predictive modeling for acute kidney injury in general hospital populations using electronic medical records.
JAMIA Open
2019
29589567
Causal risk factor discovery for severe acute kidney injury using electronic health records.
BMC Med Inform Decis Mak
2018
29891987
Optimization of Assembly Pipeline may Improve the Sequence of the Chloroplast Genome in Quercus spinosa.
Sci Rep
2018
29854121
Predicting Inpatient Acute Kidney Injury over Different Time Horizons: How Early and Accurate?
AMIA Annu Symp Proc
2018
30470779
Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury.
Sci Rep
2018
28363289
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports.
Artif Intell Med
2017
27485605
Improving drug safety: From adverse drug reaction knowledge discovery to clinical implementation.
Methods
2016
24334612
Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning.
J Am Med Inform Assoc
2014
24788270
Role of text mining in early identification of potential drug safety issues.
Methods Mol Biol
2014
1 - 23 of 23
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row(s) 1 - 30 of 30
Collaborators
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Big Data Decision Institute, Jinan University
Co-authored papers
13
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University of Missouri School of Medicine, PCORnet Clinical Research Network
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11
Weiqi Chen
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University of Missouri
Co-authored papers
6
Alan S L Yu
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6
Michael Matheny
American College of Medical Informatics, Department of Veteran Affairs, Harvard University T H Chan School of Public Health, Massachusetts Institute of Technology, The American Society for Clinical Investigation, University of Kentucky, Vanderbilt University Medical Center, Vanderbilt University Medical School
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Co-authored papers
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Yale University
Co-authored papers
2
Steven Q Simpson
University of Kansas Medical Center
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Ruichu Cai
Guangdong University of Technology
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Lian Duan
The Hong Kong University of Science and Technology
Co-authored papers
1
Fengjun Li
University of Kansas
Co-authored papers
1
Brittany L Melton
Department of Pharmacy Practice, 2University of Kansas School of Pharmacy
Co-authored papers
1
Jun Hu
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1
Alan S L Yu
Co-authored papers
1
Jingchun Sun
The University of Texas Health Science Center at Houston
Co-authored papers
1
Xue-Wen Chen
Huazhong University of Science and Technology
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