Author

Mei Liu

Associate Professor, University of Florida - Cited by 3,228 - Biomedical Informatics - Artificial Intelligence - Decision Support Systems

Biography

Dr. Mei Liu is an Assistant Professor in the Department of Pediatrics, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China. His research interest includes Speech Science, Hearing Science, etc. He has published more than 8 publications and the articles are informative and got good citations.
Title
Cited by
Year
Application of evolutionary computation for rule discovery in stock algorithmic trading: a literature review
Y Hu, K Liu, X Zhang, L Su, EWT Ngai, M LiuApplied Soft Computing, 534-551, 2015201
208
2015
Poster: A reliable and accountable privacy-preserving federated learning framework using the blockchain
S Awan, F Li, B Luo, M LiuProceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019201
97
2019
Stock Trading Rule Discovery with an Evolutionary Trend Following Model
Y Hu, B Feng, X Zhang, EWT Ngai, M LiuExpert Systems with Applications 42 (1), 212-222, 2015201
77
2015
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports
R Cai, M Liu, Y Hu, BL Melton, ME Matheny, LR Duan, Lian, WaitmanArtificial Intelligence in Medicine, 2017201
70
2017
Robust clinical marker identification for diabetic kidney disease with ensemble feature selection
X Song, LR Waitman, Y Hu, ASL Yu, DC Robbins, L MeiJournal of American Medical Informatics Association 26 (3), 242-253, 2019201
54
2019
Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction
X Song, ASL Yu, JA Kellum, LR Waitman, ME Matheny, SQ Simpson, ...Nature communications 11 (1), 5668, 2020202
53
2020
Predicting inpatient acute kidney injury over different time horizons: how early and accurate?
P Cheng, LR Waitman, Y Hu, M LiuAMIA Annual Symposium Proceedings 2017, 565, 2017201
52
2017
COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model
J Wang, N Abu-el-Rub, J Gray, HA Pham, Y Zhou, FJ Manion, M Liu, ...Journal of the American Medical Informatics Association 28 (6), 1275-1283, 2021202
45
2021
Improving drug safety: From adverse drug reaction knowledge discovery to clinical implementation
Y Tan, Y Hu, X Liu, Z Yin, X Chen, M LiuMethods, 14-25, 2016201
44
2016
Cost-sensitive and Ensemble-based Prediction Model for Outsourced Software Project Risk Prediction
Y Hu, B Feng, X Mo, X Zhang, EWT Ngai, M LiuDecision Support Systems, 11-23, 2015201
43
2015
An Evolutionary Trend Reversion Model for Stock Trading Rule Discovery
X Zhang, Y Hu, K Xie, W Zhang, L Su, M LiuKnowledge-Based Systems 79, 27-35, 2015201
37
2015
Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients Using a Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study
X Song, LR Waitman, SL Alan, DC Robbins, Y Hu, M LiuJMIR medical informatics 8 (1), e15510, 2020202
34
2020
Multi-perspective predictive modeling for acute kidney injury in general hospital populations using electronic medical records
J He, Y Hu, X Zhang, LR Waitman, M LiuJAMIA Open, 1-8, 2018201
29
2018
Development and validation of case-finding algorithms for the identification of patients with ANCA-Associated Vasculitis in Large Healthcare Administrative Databases
AG Sreih, N Annapureddy, J Springer, G Casey, K Byram, A Cruz, ...Pharmacoepidemiology and Drug Safety 25 (12), 1368-1374, 201625201
25
2016
Causal risk factor discovery for severe acute kidney injury using electronic health records
W Chen, Y Hu, L Wu, X Zhang, K Liu, J He, Z Tang, X Song, LR Waitman, ...BMC Medical Informatics and Decision Making 18 (Suppl 1), 181
20
2018
Feature ranking in predictive models for hospital-acquired acute kidney injury
L Wu, Y Hu, X Liu, X Zhang, W Chen, ASL Yu, JA Kellum, M LiuScientific Reports 18, 181
20
2018
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction
W Chen, Z Hao, R Cai, X Zhang, Y Hu, M LiuSoft Computing 20 (11), 4575-4588, 2016201
19
2016
Antibiotic Timing and Progression to Septic Shock Among Patients in the ED With Suspected Infection
R Bisarya, X Song, J Salle, M Liu, A Patel, SQ SimpsonChest 161 (1), 112-120, 2022202
17
2022
Concept drift mining of portfolio selection factors in stock market
Y Hu, K Liu, X Zhang, K Xie, W Chen, Y Zeng, M LiuElectronic Commerce Research and Applications 14 (6), 444-455, 2015201
16
2015
Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records
R Wang, Z Miao, T Liu, M Liu, K Grdinovac, X Song, Y Liang, D Delen, ...Journal of Clinical Medicine 10 (7), 1473, 2021202
15
2021

Referred From: https://scholar.google.co.in/citations?user=48wzrz8AAAAJ&hl=en

Cited by
Citations 3228
h-index 30
i10-index 49
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