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Author Details
Full Name
Xiangzhou Zhang
Affiliation
Big Data Decision Institute, Jinan University
ORCID
Career Start Year
2017
Papers
16
H Index
6
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37019835
Prediction differences and implications of acute kidney injury with and without urine output criteria in adult critically ill patients.
Nephrol Dial Transplant
2023
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
32961504
Which risk predictors are more likely to indicate severe AKI in hospitalized patients?
Int J Med Inform
2020
32741377
Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study.
BMC Nephrol
2020
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
30470779
Feature Ranking in Predictive Models for Hospital-Acquired Acute Kidney Injury.
Sci Rep
2018
29473926
Emergence of photoluminescence enhancement of Eu<sup>3+</sup> doped BiOCl single-crystalline nanosheets at reduced vertical dimensions.
Nanoscale
2018
28135696
Modification on upconversion luminescence of Er<sup>3+</sup>-Yb<sup>3+</sup> co-doped BiOCl semiconductor nanosheets through interaction between nanohost and doping lanthanide.
Spectrochim Acta A Mol Biomol Spectrosc
2017
1 - 16 of 16
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row(s) 1 - 30 of 30
Collaborators
Yong Hu
Big Data Decision Institute, Jinan University
Co-authored papers
13
Mei Liu
University of Kansas Medical Center
Co-authored papers
13
Weiqi Chen
Big Data Decision Institute, Jinan University
Co-authored papers
9
Kang Liu
School of Public Health, Guangzhou Medical University
Co-authored papers
7
Lemuel R Waitman
University of Missouri School of Medicine, PCORnet Clinical Research Network
Co-authored papers
4
John A Kellum
Spectral Medical Inc.
Co-authored papers
3
Alan S L Yu
The Jared Grantham Kidney Institute, University of Kansas Medical Center
Co-authored papers
2
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
Co-authored papers
1
Steven Q Simpson
University of Kansas Medical Center
Co-authored papers
1
Alan S L Yu
Co-authored papers
1
Michael E Matheny
Co-authored papers
1
Abdelouahab Bellou
Southern Medical University
Co-authored papers
1
Xing Song
University of Missouri
Co-authored papers
1
1 - 13