177 related articles for article (PubMed ID: 37955147)
1. Systematic reviews of machine learning in healthcare: a literature review.
Kolasa K; Admassu B; Hołownia-Voloskova M; Kędzior KJ; Poirrier JE; Perni S
Expert Rev Pharmacoecon Outcomes Res; 2024 Jan; 24(1):63-115. PubMed ID: 37955147
[TBL] [Abstract][Full Text] [Related]
2. Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews.
Popoff E; Besada M; Jansen JP; Cope S; Kanters S
Syst Rev; 2020 Dec; 9(1):293. PubMed ID: 33308292
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of a prototype machine learning tool to semi-automate data extraction for systematic literature reviews.
Panayi A; Ward K; Benhadji-Schaff A; Ibanez-Lopez AS; Xia A; Barzilay R
Syst Rev; 2023 Oct; 12(1):187. PubMed ID: 37803451
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews.
Martinez-Millana A; Saez-Saez A; Tornero-Costa R; Azzopardi-Muscat N; Traver V; Novillo-Ortiz D
Int J Med Inform; 2022 Oct; 166():104855. PubMed ID: 35998421
[TBL] [Abstract][Full Text] [Related]
5. Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review.
Buchlak QD; Esmaili N; Leveque JC; Bennett C; Farrokhi F; Piccardi M
J Clin Neurosci; 2021 Jul; 89():177-198. PubMed ID: 34119265
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.
Adamidi ES; Mitsis K; Nikita KS
Comput Struct Biotechnol J; 2021; 19():2833-2850. PubMed ID: 34025952
[TBL] [Abstract][Full Text] [Related]
7. A Discussion of Machine Learning Approaches for Clinical Prediction Modeling.
Jin MC; Rodrigues AJ; Jensen M; Veeravagu A
Acta Neurochir Suppl; 2022; 134():65-73. PubMed ID: 34862529
[TBL] [Abstract][Full Text] [Related]
8. Application of machine learning in predicting survival outcomes involving real-world data: a scoping review.
Huang Y; Li J; Li M; Aparasu RR
BMC Med Res Methodol; 2023 Nov; 23(1):268. PubMed ID: 37957593
[TBL] [Abstract][Full Text] [Related]
9. Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review.
Jorayeva M; Akbulut A; Catal C; Mishra A
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408166
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
Khalid H; Khan A; Zahid Khan M; Mehmood G; Shuaib Qureshi M
Comput Intell Neurosci; 2023; 2023():9266889. PubMed ID: 36959840
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning in oncology: A clinical appraisal.
Cuocolo R; Caruso M; Perillo T; Ugga L; Petretta M
Cancer Lett; 2020 Jul; 481():55-62. PubMed ID: 32251707
[TBL] [Abstract][Full Text] [Related]
13. Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study.
Yu JR; Chen CH; Huang TW; Lu JJ; Chung CR; Lin TW; Wu MH; Tseng YJ; Wang HY
J Med Internet Res; 2022 Jan; 24(1):e28036. PubMed ID: 35076405
[TBL] [Abstract][Full Text] [Related]
14. Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture.
Hesami M; Jones AMP
Appl Microbiol Biotechnol; 2020 Nov; 104(22):9449-9485. PubMed ID: 32984921
[TBL] [Abstract][Full Text] [Related]
15. Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making.
Brnabic A; Hess LM
BMC Med Inform Decis Mak; 2021 Feb; 21(1):54. PubMed ID: 33588830
[TBL] [Abstract][Full Text] [Related]
16. Machine learning in medicine: a practical introduction.
Sidey-Gibbons JAM; Sidey-Gibbons CJ
BMC Med Res Methodol; 2019 Mar; 19(1):64. PubMed ID: 30890124
[TBL] [Abstract][Full Text] [Related]
17. Involvement of Machine Learning Tools in Healthcare Decision Making.
Jayatilake SMDAC; Ganegoda GU
J Healthc Eng; 2021; 2021():6679512. PubMed ID: 33575021
[TBL] [Abstract][Full Text] [Related]
18. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
19. Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.
Cha GW; Moon HJ; Kim YM; Hong WH; Hwang JH; Park WJ; Kim YC
Int J Environ Res Public Health; 2020 Sep; 17(19):. PubMed ID: 32987874
[TBL] [Abstract][Full Text] [Related]
20. A Systematic Review and Bibliometric Analysis of Applications of Artificial Intelligence and Machine Learning in Vascular Surgery.
Javidan AP; Li A; Lee MH; Forbes TL; Naji F
Ann Vasc Surg; 2022 Sep; 85():395-405. PubMed ID: 35339595
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
