These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
379 related articles for article (PubMed ID: 28814479)
1. Early prediction of hospital admission for emergency department patients: a comparison between patients younger or older than 70 years. Lucke JA; de Gelder J; Clarijs F; Heringhaus C; de Craen AJM; Fogteloo AJ; Blauw GJ; Groot B; Mooijaart SP Emerg Med J; 2018 Jan; 35(1):18-27. PubMed ID: 28814479 [TBL] [Abstract][Full Text] [Related]
2. Predicting hospital admissions at emergency department triage using routine administrative data. Sun Y; Heng BH; Tay SY; Seow E Acad Emerg Med; 2011 Aug; 18(8):844-50. PubMed ID: 21843220 [TBL] [Abstract][Full Text] [Related]
3. Predicting hospital admission at the emergency department triage: A novel prediction model. Parker CA; Liu N; Wu SX; Shen Y; Lam SSW; Ong MEH Am J Emerg Med; 2019 Aug; 37(8):1498-1504. PubMed ID: 30413365 [TBL] [Abstract][Full Text] [Related]
4. Development and validation of an admission prediction tool for emergency departments in the Netherlands. Kraaijvanger N; Rijpsma D; Roovers L; van Leeuwen H; Kaasjager K; van den Brand L; Horstink L; Edwards M Emerg Med J; 2018 Aug; 35(8):464-470. PubMed ID: 29627769 [TBL] [Abstract][Full Text] [Related]
5. Emergency department triage prediction of clinical outcomes using machine learning models. Raita Y; Goto T; Faridi MK; Brown DFM; Camargo CA; Hasegawa K Crit Care; 2019 Feb; 23(1):64. PubMed ID: 30795786 [TBL] [Abstract][Full Text] [Related]
6. The Sydney Triage to Admission Risk Tool (START) to predict Emergency Department Disposition: A derivation and internal validation study using retrospective state-wide data from New South Wales, Australia. Dinh MM; Russell SB; Bein KJ; Rogers K; Muscatello D; Paoloni R; Hayman J; Chalkley DR; Ivers R BMC Emerg Med; 2016 Dec; 16(1):46. PubMed ID: 27912757 [TBL] [Abstract][Full Text] [Related]
7. Predictive factors for hospitalization of nonurgent patients in the emergency department. Ng CJ; Liao PJ; Chang YC; Kuan JT; Chen JC; Hsu KH Medicine (Baltimore); 2016 Jun; 95(26):e4053. PubMed ID: 27368040 [TBL] [Abstract][Full Text] [Related]
9. Study protocol for a multicentre prospective cohort study to identify predictors of adverse outcome in older medical emergency department patients (the Risk Stratification in the Emergency Department in Acutely Ill Older Patients (RISE UP) study). Zelis N; Buijs J; de Leeuw PW; van Kuijk SMJ; Stassen PM BMC Geriatr; 2019 Mar; 19(1):65. PubMed ID: 30832571 [TBL] [Abstract][Full Text] [Related]
10. Performance of the Manchester triage system in older emergency department patients: a retrospective cohort study. Brouns SHA; Mignot-Evers L; Derkx F; Lambooij SL; Dieleman JP; Haak HR BMC Emerg Med; 2019 Jan; 19(1):3. PubMed ID: 30612552 [TBL] [Abstract][Full Text] [Related]
11. Prediction of hospitalization using artificial intelligence for urgent patients in the emergency department. Lee JT; Hsieh CC; Lin CH; Lin YJ; Kao CY Sci Rep; 2021 Sep; 11(1):19472. PubMed ID: 34593930 [TBL] [Abstract][Full Text] [Related]
12. Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks. Zhang X; Kim J; Patzer RE; Pitts SR; Patzer A; Schrager JD Methods Inf Med; 2017 Oct; 56(5):377-389. PubMed ID: 28816338 [TBL] [Abstract][Full Text] [Related]
13. A brief risk-stratification tool to predict repeat emergency department visits and hospitalizations in older patients discharged from the emergency department. Meldon SW; Mion LC; Palmer RM; Drew BL; Connor JT; Lewicki LJ; Bass DM; Emerman CL Acad Emerg Med; 2003 Mar; 10(3):224-32. PubMed ID: 12615588 [TBL] [Abstract][Full Text] [Related]
14. Predicting admission of patients by their presentation to the emergency department. Kim SW; Li JY; Hakendorf P; Teubner DJ; Ben-Tovim DI; Thompson CH Emerg Med Australas; 2014 Aug; 26(4):361-7. PubMed ID: 24934833 [TBL] [Abstract][Full Text] [Related]
15. Predicting hospital admission and returns to the emergency department for elderly patients. LaMantia MA; Platts-Mills TF; Biese K; Khandelwal C; Forbach C; Cairns CB; Busby-Whitehead J; Kizer JS Acad Emerg Med; 2010 Mar; 17(3):252-9. PubMed ID: 20370757 [TBL] [Abstract][Full Text] [Related]
16. Evaluation of a hospital admission prediction model adding coded chief complaint data using neural network methodology. Handly N; Thompson DA; Li J; Chuirazzi DM; Venkat A Eur J Emerg Med; 2015 Apr; 22(2):87-91. PubMed ID: 24509606 [TBL] [Abstract][Full Text] [Related]
17. The effects of emergency department crowding on triage and hospital admission decisions. Chen W; Linthicum B; Argon NT; Bohrmann T; Lopiano K; Mehrotra A; Travers D; Ziya S Am J Emerg Med; 2020 Apr; 38(4):774-779. PubMed ID: 31288959 [TBL] [Abstract][Full Text] [Related]
18. A clinical prediction model to identify children at risk for revisits with serious illness to the emergency department: A prospective multicentre observational study. Nijman RG; Borensztajn DH; Zachariasse JM; Hajema C; Freitas P; Greber-Platzer S; Smit FJ; Alves CF; van der Lei J; Steyerberg EW; Maconochie IK; Moll HA PLoS One; 2021; 16(7):e0254366. PubMed ID: 34264983 [TBL] [Abstract][Full Text] [Related]
19. Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage. Goto T; Camargo CA; Faridi MK; Freishtat RJ; Hasegawa K JAMA Netw Open; 2019 Jan; 2(1):e186937. PubMed ID: 30646206 [TBL] [Abstract][Full Text] [Related]
20. Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope? De Hond A; Raven W; Schinkelshoek L; Gaakeer M; Ter Avest E; Sir O; Lameijer H; Hessels RA; Reijnen R; De Jonge E; Steyerberg E; Nickel CH; De Groot B Int J Med Inform; 2021 Aug; 152():104496. PubMed ID: 34020171 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]