343 related articles for article (PubMed ID: 32061798)
1. Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies.
Luz CF; Vollmer M; Decruyenaere J; Nijsten MW; Glasner C; Sinha B
Clin Microbiol Infect; 2020 Oct; 26(10):1291-1299. PubMed ID: 32061798
[TBL] [Abstract][Full Text] [Related]
2. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
3. Machine learning for clinical decision support in infectious diseases: a narrative review of current applications.
Peiffer-Smadja N; Rawson TM; Ahmad R; Buchard A; Georgiou P; Lescure FX; Birgand G; Holmes AH
Clin Microbiol Infect; 2020 May; 26(5):584-595. PubMed ID: 31539636
[TBL] [Abstract][Full Text] [Related]
4. Prediction of In-hospital Mortality in Emergency Department Patients With Sepsis: A Local Big Data-Driven, Machine Learning Approach.
Taylor RA; Pare JR; Venkatesh AK; Mowafi H; Melnick ER; Fleischman W; Hall MK
Acad Emerg Med; 2016 Mar; 23(3):269-78. PubMed ID: 26679719
[TBL] [Abstract][Full Text] [Related]
5. Diagnosis of urinary tract infection based on artificial intelligence methods.
Ozkan IA; Koklu M; Sert IU
Comput Methods Programs Biomed; 2018 Nov; 166():51-59. PubMed ID: 30415718
[TBL] [Abstract][Full Text] [Related]
6. Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence.
Bates DW; Auerbach A; Schulam P; Wright A; Saria S
Ann Intern Med; 2020 Jun; 172(11 Suppl):S137-S144. PubMed ID: 32479180
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning.
Colborn KL; Zhuang Y; Dyas AR; Henderson WG; Madsen HJ; Bronsert MR; Matheny ME; Lambert-Kerzner A; Myers QWO; Meguid RA
Surgery; 2023 Feb; 173(2):464-471. PubMed ID: 36470694
[TBL] [Abstract][Full Text] [Related]
8. Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.
Hu Z; Melton GB; Moeller ND; Arsoniadis EG; Wang Y; Kwaan MR; Jensen EH; Simon GJ
AMIA Annu Symp Proc; 2016; 2016():1822-1831. PubMed ID: 28269941
[TBL] [Abstract][Full Text] [Related]
9. Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review.
Buchlak QD; Esmaili N; Leveque JC; Farrokhi F; Bennett C; Piccardi M; Sethi RK
Neurosurg Rev; 2020 Oct; 43(5):1235-1253. PubMed ID: 31422572
[TBL] [Abstract][Full Text] [Related]
10. Use of machine learning to analyse routinely collected intensive care unit data: a systematic review.
Shillan D; Sterne JAC; Champneys A; Gibbison B
Crit Care; 2019 Aug; 23(1):284. PubMed ID: 31439010
[TBL] [Abstract][Full Text] [Related]
11. Machine learning models to detect and predict patient safety events using electronic health records: A systematic review.
Deimazar G; Sheikhtaheri A
Int J Med Inform; 2023 Dec; 180():105246. PubMed ID: 37837710
[TBL] [Abstract][Full Text] [Related]
12. Early Sepsis Prediction Using Ensemble Learning With Deep Features and Artificial Features Extracted From Clinical Electronic Health Records.
He Z; Du L; Zhang P; Zhao R; Chen X; Fang Z
Crit Care Med; 2020 Dec; 48(12):e1337-e1342. PubMed ID: 33044286
[TBL] [Abstract][Full Text] [Related]
13. Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.
Park JI; Bliss DZ; Chi CL; Delaney CW; Westra BL
Comput Inform Nurs; 2020 Jan; 38(1):28-35. PubMed ID: 31524687
[TBL] [Abstract][Full Text] [Related]
14. Applying machine learning to continuously monitored physiological data.
Rush B; Celi LA; Stone DJ
J Clin Monit Comput; 2019 Oct; 33(5):887-893. PubMed ID: 30417258
[TBL] [Abstract][Full Text] [Related]
15. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
[TBL] [Abstract][Full Text] [Related]
16. Clinical Decision-Support Systems for Detection of Systemic Inflammatory Response Syndrome, Sepsis, and Septic Shock in Critically Ill Patients: A Systematic Review.
Wulff A; Montag S; Marschollek M; Jack T
Methods Inf Med; 2019 Dec; 58(S 02):e43-e57. PubMed ID: 31499571
[TBL] [Abstract][Full Text] [Related]
17. Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.
Burton RJ; Albur M; Eberl M; Cuff SM
BMC Med Inform Decis Mak; 2019 Aug; 19(1):171. PubMed ID: 31443706
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review.
Tabja Bortesi JP; Ranisau J; Di S; McGillion M; Rosella L; Johnson A; Devereaux PJ; Petch J
J Med Internet Res; 2024 Jan; 26():e52880. PubMed ID: 38236623
[TBL] [Abstract][Full Text] [Related]
19. Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review.
Medic G; Kosaner Kließ M; Atallah L; Weichert J; Panda S; Postma M; El-Kerdi A
F1000Res; 2019; 8():1728. PubMed ID: 31824670
[No Abstract] [Full Text] [Related]
20. Novel Strategies for Predicting Healthcare-Associated Infections at Admission: Implications for Nursing Care.
Zachariah P; Sanabria E; Liu J; Cohen B; Yao D; Larson E
Nurs Res; 2020; 69(5):399-403. PubMed ID: 32604154
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
