618 related articles for article (PubMed ID: 33940479)
1. Predicting hospitalization of pediatric asthma patients in emergency departments using machine learning.
Sills MR; Ozkaynak M; Jang H
Int J Med Inform; 2021 Jul; 151():104468. PubMed ID: 33940479
[TBL] [Abstract][Full Text] [Related]
2. A Machine Learning Approach to Predicting Need for Hospitalization for Pediatric Asthma Exacerbation at the Time of Emergency Department Triage.
Patel SJ; Chamberlain DB; Chamberlain JM
Acad Emerg Med; 2018 Dec; 25(12):1463-1470. PubMed ID: 30382605
[TBL] [Abstract][Full Text] [Related]
3. Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.
Goto T; Camargo CA; Faridi MK; Yun BJ; Hasegawa K
Am J Emerg Med; 2018 Sep; 36(9):1650-1654. PubMed ID: 29970272
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. 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]
8. A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score.
Klug M; Barash Y; Bechler S; Resheff YS; Tron T; Ironi A; Soffer S; Zimlichman E; Klang E
J Gen Intern Med; 2020 Jan; 35(1):220-227. PubMed ID: 31677104
[TBL] [Abstract][Full Text] [Related]
9. A Machine Learning-Based Model to Predict Acute Traumatic Coagulopathy in Trauma Patients Upon Emergency Hospitalization.
Li K; Wu H; Pan F; Chen L; Feng C; Liu Y; Hui H; Cai X; Che H; Ma Y; Li T
Clin Appl Thromb Hemost; 2020; 26():1076029619897827. PubMed ID: 31908189
[TBL] [Abstract][Full Text] [Related]
10. Machine learning-based prediction of critical illness in children visiting the emergency department.
Hwang S; Lee B
PLoS One; 2022; 17(2):e0264184. PubMed ID: 35176113
[TBL] [Abstract][Full Text] [Related]
11. Criticality index conducted in pediatric emergency department triage.
Heyming TW; Knudsen-Robbins C; Feaster W; Ehwerhemuepha L
Am J Emerg Med; 2021 Oct; 48():209-217. PubMed ID: 33975133
[TBL] [Abstract][Full Text] [Related]
12. Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach.
Klang E; Kummer BR; Dangayach NS; Zhong A; Kia MA; Timsina P; Cossentino I; Costa AB; Levin MA; Oermann EK
Sci Rep; 2021 Jan; 11(1):1381. PubMed ID: 33446890
[TBL] [Abstract][Full Text] [Related]
13. Predicting need for hospitalization in acute pediatric asthma.
Gorelick M; Scribano PV; Stevens MW; Schultz T; Shults J
Pediatr Emerg Care; 2008 Nov; 24(11):735-44. PubMed ID: 18955910
[TBL] [Abstract][Full Text] [Related]
14. Prediction of bacteremia at the emergency department during triage and disposition stages using machine learning models.
Choi DH; Hong KJ; Park JH; Shin SD; Ro YS; Song KJ; Kim KH; Kim S
Am J Emerg Med; 2022 Mar; 53():86-93. PubMed ID: 34998038
[TBL] [Abstract][Full Text] [Related]
15. Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques.
Saggu S; Daneshvar H; Samavi R; Pires P; Sassi RB; Doyle TE; Zhao J; Mauluddin A; Duncan L
BMC Med Inform Decis Mak; 2024 Feb; 24(1):42. PubMed ID: 38331816
[TBL] [Abstract][Full Text] [Related]
16. Developing machine learning models to personalize care levels among emergency room patients for hospital admission.
Nguyen M; Corbin CK; Eulalio T; Ostberg NP; Machiraju G; Marafino BJ; Baiocchi M; Rose C; Chen JH
J Am Med Inform Assoc; 2021 Oct; 28(11):2423-2432. PubMed ID: 34402507
[TBL] [Abstract][Full Text] [Related]
17. Predicting daily emergency department visits using machine learning could increase accuracy.
Gafni-Pappas G; Khan M
Am J Emerg Med; 2023 Mar; 65():5-11. PubMed ID: 36574748
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based models to support decision-making in emergency department triage for patients with suspected cardiovascular disease.
Jiang H; Mao H; Lu H; Lin P; Garry W; Lu H; Yang G; Rainer TH; Chen X
Int J Med Inform; 2021 Jan; 145():104326. PubMed ID: 33197878
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments.
Kwon JM; Jeon KH; Lee M; Kim KH; Park J; Oh BH
Pediatr Emerg Care; 2021 Dec; 37(12):e988-e994. PubMed ID: 31268962
[TBL] [Abstract][Full Text] [Related]
20. Predicting hospital admission for older emergency department patients: Insights from machine learning.
Mowbray F; Zargoush M; Jones A; de Wit K; Costa A
Int J Med Inform; 2020 Aug; 140():104163. PubMed ID: 32474393
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]