309 related articles for article (PubMed ID: 36310417)
1. A systematic review of predictive models for hospital-acquired pressure injury using machine learning.
Zhou Y; Yang X; Ma S; Yuan Y; Yan M
Nurs Open; 2023 Mar; 10(3):1234-1246. PubMed ID: 36310417
[TBL] [Abstract][Full Text] [Related]
2. An Integrated System of Braden Scale and Random Forest Using Real-Time Diagnoses to Predict When Hospital-Acquired Pressure Injuries (Bedsores) Occur.
Dweekat OY; Lam SS; McGrath L
Int J Environ Res Public Health; 2023 Mar; 20(6):. PubMed ID: 36981818
[TBL] [Abstract][Full Text] [Related]
3. Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review.
Toffaha KM; Simsekler MCE; Omar MA
Artif Intell Med; 2023 Jul; 141():102560. PubMed ID: 37295900
[TBL] [Abstract][Full Text] [Related]
4. Academic-Practice Partnership to Prevent and Manage Pressure Injuries: An Evidence-Based Quality Improvement Initiative.
Otts JA; Pittman J; Riley B; Mestas L; Hall H
J Wound Ostomy Continence Nurs; 2023 Nov-Dec 01; 50(6):463-473. PubMed ID: 37698422
[TBL] [Abstract][Full Text] [Related]
5. Machine learning predictive models for acute pancreatitis: A systematic review.
Zhou Y; Ge YT; Shi XL; Wu KY; Chen WW; Ding YB; Xiao WM; Wang D; Lu GT; Hu LH
Int J Med Inform; 2022 Jan; 157():104641. PubMed ID: 34785488
[TBL] [Abstract][Full Text] [Related]
6. Machine learning models for diabetes management in acute care using electronic medical records: A systematic review.
Kamel Rahimi A; Canfell OJ; Chan W; Sly B; Pole JD; Sullivan C; Shrapnel S
Int J Med Inform; 2022 Apr; 162():104758. PubMed ID: 35398812
[TBL] [Abstract][Full Text] [Related]
7. A Comprehensive and Improved Definition for Hospital-Acquired Pressure Injury Classification Based on Electronic Health Records: Comparative Study.
Sotoodeh M; Zhang W; Simpson RL; Hertzberg VS; Ho JC
JMIR Med Inform; 2023 Feb; 11():e40672. PubMed ID: 36649481
[TBL] [Abstract][Full Text] [Related]
8. An Integrated System of Multifaceted Machine Learning Models to Predict If and When Hospital-Acquired Pressure Injuries (Bedsores) Occur.
Dweekat OY; Lam SS; McGrath L
Int J Environ Res Public Health; 2023 Jan; 20(1):. PubMed ID: 36613150
[TBL] [Abstract][Full Text] [Related]
9. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
10. Hospital-Acquired Pressure Injuries and Acute Skin Failure in Critical Care: A Case-Control Study.
Pittman J; Beeson T; Dillon J; Yang Z; Mravec M; Malloy C; Cuddigan J
J Wound Ostomy Continence Nurs; 2021 Jan-Feb 01; 48(1):20-30. PubMed ID: 33427806
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A Hybrid System of Braden Scale and Machine Learning to Predict Hospital-Acquired Pressure Injuries (Bedsores): A Retrospective Observational Cohort Study.
Dweekat OY; Lam SS; McGrath L
Diagnostics (Basel); 2022 Dec; 13(1):. PubMed ID: 36611323
[No Abstract] [Full Text] [Related]
13. Costs and consequences of an intervention-based program to reduce hospital-acquired pressure injuries in one health district in Australia.
Barakat-Johnson M; Lai M; Wand T; White K; De Abreu Lourenco R
Aust Health Rev; 2019 Oct; 43(5):516-525. PubMed ID: 30738490
[TBL] [Abstract][Full Text] [Related]
14. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review.
Adeoye J; Tan JY; Choi SW; Thomson P
Int J Med Inform; 2021 Oct; 154():104557. PubMed ID: 34455119
[TBL] [Abstract][Full Text] [Related]
15. Key stakeholders' perspectives: A gap analysis of hospital-acquired pressure injuries.
Riley BH; Pittman J; Otts JAA; Mulekar MS
J Nurs Scholarsh; 2024 Mar; 56(2):291-313. PubMed ID: 37984994
[TBL] [Abstract][Full Text] [Related]
16. COVID-19 and Hospital-Acquired Pressure Injuries: A Systematic Review.
Bourkas AN; Zaman M; Sibbald RG
Adv Skin Wound Care; 2023 Aug; 36(8):421-434. PubMed ID: 37471447
[TBL] [Abstract][Full Text] [Related]
17. The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery.
Vernooij LM; van Klei WA; Moons KG; Takada T; van Waes J; Damen JA
Cochrane Database Syst Rev; 2021 Dec; 12(12):CD013139. PubMed ID: 34931303
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based prediction models for pressure injury: A systematic review and meta-analysis.
Pei J; Guo X; Tao H; Wei Y; Zhang H; Ma Y; Han L
Int Wound J; 2023 Dec; 20(10):4328-4339. PubMed ID: 37340520
[TBL] [Abstract][Full Text] [Related]
19. Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia.
Osborne SR; Alston LV; Bolton KA; Whelan J; Reeve E; Wong Shee A; Browne J; Walker T; Versace VL; Allender S; Nichols M; Backholer K; Goodwin N; Lewis S; Dalton H; Prael G; Curtin M; Brooks R; Verdon S; Crockett J; Hodgins G; Walsh S; Lyle DM; Thompson SC; Browne LJ; Knight S; Pit SW; Jones M; Gillam MH; Leach MJ; Gonzalez-Chica DA; Muyambi K; Eshetie T; Tran K; May E; Lieschke G; Parker V; Smith A; Hayes C; Dunlop AJ; Rajappa H; White R; Oakley P; Holliday S
Med J Aust; 2020 Dec; 213 Suppl 11():S3-S32.e1. PubMed ID: 33314144
[TBL] [Abstract][Full Text] [Related]
20. Pressure Injury Prevalence in Acute Care Hospitals With Unit-Specific Analysis: Results From the International Pressure Ulcer Prevalence (IPUP) Survey Database.
VanGilder CA; Cox J; Edsberg LE; Koloms K
J Wound Ostomy Continence Nurs; 2021 Nov-Dec 01; 48(6):492-503. PubMed ID: 34781304
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]