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Mei Liu
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Cited by
Year
Prediction of protein–protein interactions using random decision forest framework
XW Chen, M Liu
Bioinformatics 21 (24), 4394-4400, 2005
4782005
A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries
M Jiang, Y Chen, M Liu, ST Rosenbloom, S Mani, JC Denny, H Xu
Journal of the American Medical Informatics Association 18 (5), 601-606, 2011
3082011
Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs
M Liu, Y Wu, Y Chen, J Sun, Z Zhao, X Chen, ME Matheny, H Xu
Journal of the American Medical Informatics Association 19 (e1), e28-e35, 2012
2742012
Software project risk analysis using Bayesian networks with causality constraints
Y Hu, X Zhang, EWT Ngai, R Cai, M Liu
Decision Support Systems 56, 439-449, 2013
2132013
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 Liu
Applied Soft Computing, 534-551, 2015
2122015
A causal feature selection algorithm for stock prediction modeling
X Zhang, Y Hu, K Xie, S Wang, EWT Ngai, M Liu
Neurocomputing 142, 48-59, 2014
1172014
Poster: A reliable and accountable privacy-preserving federated learning framework using the blockchain
S Awan, F Li, B Luo, M Liu
Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019
1062019
Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records
M Liu, ER McPeek Hinz, ME Matheny, JC Denny, JS Schildcrout, ...
Journal of the American Medical Informatics Association 20 (3), 420-426, 2013
802013
Stock Trading Rule Discovery with an Evolutionary Trend Following Model
Y Hu, B Feng, X Zhang, EWT Ngai, M Liu
Expert Systems with Applications 42 (1), 212-222, 2015
782015
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, Waitman
Artificial Intelligence in Medicine, 2017
742017
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, 2020
672020
An integrative framework for intelligent software project risk planning
Y Hu, J Du, X Zhang, X Hao, EWT Ngai, M Fan, M Liu
Decision Support Systems 55 (4), 927-937, 2013
622013
A study of transportability of an existing smoking status detection module across institutions
M Liu, A Shah, M Jiang, NB Peterson, Q Dai, MC Aldrich, Q Chen, ...
AMIA Annual Symposium Proceedings 2012, 577, 2012
612012
Software project risk management modeling with neural network and support vector machine approaches
Y Hu, J Huang, J Chen, M Liu, K Xie
Third International Conference on Natural Computation (ICNC 2007) 3, 358-362, 2007
592007
A scalable intelligent non-content-based spam-filtering framework
Y Hu, C Guo, EWT Ngai, M Liu, S Chen
Expert Systems with Applications 37 (12), 8557-8565, 2010
582010
Predicting inpatient acute kidney injury over different time horizons: how early and accurate?
P Cheng, LR Waitman, Y Hu, M Liu
AMIA Annual Symposium Proceedings 2017, 565, 2017
572017
Ranking gene-drug relationships in biomedical literature using latent dirichlet allocation
Y Wu, M Liu, WJ Zheng, Z Zhao, H Xu
Biocomputing 2012, 422-433, 2012
572012
Robust clinical marker identification for diabetic kidney disease with ensemble feature selection
X Song, LR Waitman, Y Hu, ASL Yu, DC Robbins, L Mei
Journal of American Medical Informatics Association 26 (3), 242-253, 2019
562019
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, 2021
472021
Cost-sensitive and Ensemble-based Prediction Model for Outsourced Software Project Risk Prediction
Y Hu, B Feng, X Mo, X Zhang, EWT Ngai, M Liu
Decision Support Systems, 11-23, 2015
462015
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