Volgen
Taiyao Wang
Titel
Geciteerd door
Geciteerd door
Jaar
Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach
TS Brisimi, T Xu, T Wang, W Dai, WG Adams, IC Paschalidis
Proceedings of the IEEE 106 (4), 690-707, 2018
1122018
Designing metabolic division of labor in microbial communities
M Thommes, T Wang, Q Zhao, IC Paschalidis, D Segrč
MSystems 4 (2), 10.1128/msystems. 00263-18, 2019
1002019
Early prediction of level-of-care requirements in patients with COVID-19
B Hao, S Sotudian, T Wang, T Xu, Y Hu, A Gaitanidis, K Breen, ...
Elife 9, e60519, 2020
712020
Predicting diabetes-related hospitalizations based on electronic health records
TS Brisimi, T Xu, T Wang, W Dai, IC Paschalidis
Statistical methods in medical research 28 (12), 3667-3682, 2019
352019
Predictive models of mortality for hospitalized patients with COVID-19: retrospective cohort study
T Wang, A Paschalidis, Q Liu, Y Liu, Y Yuan, IC Paschalidis
JMIR medical informatics 8 (10), e21788, 2020
172020
Predictive models of pregnancy based on data from a preconception cohort study
JJ Yland, T Wang, Z Zad, SK Willis, TR Wang, AK Wesselink, T Jiang, ...
Human Reproduction 37 (3), 565-576, 2022
132022
Prescriptive analytics for reducing 30-day hospital readmissions after general surgery
D Bertsimas, ML Li, IC Paschalidis, T Wang
PloS one 15 (9), e0238118, 2020
132020
A joint sparse clustering and classification approach with applications to hospitalization prediction
T Xu, TS Brisimi, T Wang, W Dai, IC Paschalidis
2016 IEEE 55th conference on decision and control (CDC), 4566-4571, 2016
122016
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning
A Samadani, T Wang, K van Zon, LA Celi
Artificial Intelligence in Medicine 146, 102715, 2023
102023
Convergence of parameter estimates for regularized mixed linear regression models
T Wang, IC Paschalidis
2019 IEEE 58th Conference on Decision and Control (CDC), 3664-3669, 2019
92019
Designing metabolic division of labor in microbial communities. mSystems 4: e00263-18
M Thommes, T Wang, Q Zhao, IC Paschalidis, D Segrč
DOI 10, 00263-18, 2019
82019
Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records
Z Zad, VS Jiang, AT Wolf, T Wang, JJ Cheng, IC Paschalidis, ...
Frontiers in Endocrinology 15, 1298628, 2024
72024
Prescriptive cluster-dependent support vector machines with an application to reducing hospital readmissions
T Wang, IC Paschalidis
2019 18th European Control Conference (ECC), 1182-1187, 2019
72019
Prediction of deep molecular response in chronic myeloid leukemia using supervised machine learning models
Z Zad, S Bonecker, T Wang, I Zalcberg, GT Stelzer, B Sabioni, ...
Leukemia research 141, 107502, 2024
12024
Predicting Antimicrobial Resistance in the Intensive Care Unit
T Wang, KR Hansen, J Loving, IC Paschalidis, H van Aggelen, E Simhon
arXiv preprint arXiv:2111.03575, 2021
12021
Data analytics and optimization methods in biomedical systems: from microbes to humans
T Wang
12020
Designing metabolic division of labor in microbial communities
T Meghan, W Taiyao, Q Zhao, IC Paschalidis, D Segrč
MSystems 4 (2), 2019
12019
Strong consistency of parameter estimates for purely explosive autoregressive models with exogenous inputs
T Wang, B Qi
Proceedings of the 33rd Chinese Control Conference, 6588-6592, 2014
12014
Multi-Attribute Subset Selection enables prediction of representative phenotypes across microbial populations
K Herbst, T Wang, EJ Forchielli, M Thommes, IC Paschalidis, D Segrč
Communications Biology 7 (1), 407, 2024
2024
Incremental clustering and hierarchy formation system for clinical decision support (cds) system development and method of operation thereof
AAA Samadani, W Taiyao, C Van Zon
US Patent App. 17/978,482, 2023
2023
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20