Detalhe da pesquisa
1.
Whole-Genome Sequencing Surveillance and Machine Learning of the Electronic Health Record for Enhanced Healthcare Outbreak Detection.
Clin Infect Dis
; 75(3): 476-482, 2022 08 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-34791136
2.
Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing Surveillance.
Clin Infect Dis
; 73(3): e638-e642, 2021 08 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33367518
3.
Statistical outbreak detection by joining medical records and pathogen similarity.
J Biomed Inform
; 91: 103126, 2019 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-30771483
4.
Development of the Pseudomonas aeruginosa mushroom morphology and cavity formation by iron-starvation: a mathematical modeling study.
J Theor Biol
; 308: 68-78, 2012 Sep 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-22677397
5.
Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary.
Antimicrob Steward Healthc Epidemiol
; 2(1): e91, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36483409
6.
Using machine learning to improve risk prediction in durable left ventricular assist devices.
PLoS One
; 16(3): e0247866, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-33690687
7.
Performance of a Machine Learning Algorithm in Predicting Outcomes of Aortic Valve Replacement.
Ann Thorac Surg
; 111(2): 503-510, 2021 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-32687831
8.
Supplementing Existing Societal Risk Models for Surgical Aortic Valve Replacement With Machine Learning for Improved Prediction.
J Am Heart Assoc
; 10(22): e019697, 2021 11 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-34658259
9.
Predictive Utility of a Machine Learning Algorithm in Estimating Mortality Risk in Cardiac Surgery.
Ann Thorac Surg
; 109(6): 1811-1819, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-31706872
10.
Automated data mining of the electronic health record for investigation of healthcare-associated outbreaks.
Infect Control Hosp Epidemiol
; 40(3): 314-319, 2019 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-30773168