248 related articles for article (PubMed ID: 32240912)
1. Prediction of admission in pediatric emergency department with deep neural networks and triage textual data.
Roquette BP; Nagano H; Marujo EC; Maiorano AC
Neural Netw; 2020 Jun; 126():170-177. PubMed ID: 32240912
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Predicting hospital admission at emergency department triage using machine learning.
Hong WS; Haimovich AD; Taylor RA
PLoS One; 2018; 13(7):e0201016. PubMed ID: 30028888
[TBL] [Abstract][Full Text] [Related]
5. The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.
Rendell K; Koprinska I; Kyme A; Ebker-White AA; Dinh MM
Emerg Med Australas; 2019 Jun; 31(3):429-435. PubMed ID: 30469164
[TBL] [Abstract][Full Text] [Related]
6. A Novel Deep Learning-Based System for Triage in the Emergency Department Using Electronic Medical Records: Retrospective Cohort Study.
Yao LH; Leung KC; Tsai CL; Huang CH; Fu LC
J Med Internet Res; 2021 Dec; 23(12):e27008. PubMed ID: 34958305
[TBL] [Abstract][Full Text] [Related]
7. A universal deep learning approach for modeling the flow of patients under different severities.
Jiang S; Chin KS; Tsui KL
Comput Methods Programs Biomed; 2018 Feb; 154():191-203. PubMed ID: 29249343
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data.
Chen CH; Hsieh JG; Cheng SL; Lin YL; Lin PH; Jeng JH
Int J Med Inform; 2020 Jul; 139():104146. PubMed ID: 32387818
[TBL] [Abstract][Full Text] [Related]
12. Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing.
Fernandes M; Mendes R; Vieira SM; Leite F; Palos C; Johnson A; Finkelstein S; Horng S; Celi LA
PLoS One; 2020; 15(4):e0230876. PubMed ID: 32240233
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Using emergency department triage for machine learning-based admission and mortality prediction.
Tschoellitsch T; Seidl P; Böck C; Maletzky A; Moser P; Thumfart S; Giretzlehner M; Hochreiter S; Meier J
Eur J Emerg Med; 2023 Dec; 30(6):408-416. PubMed ID: 37578440
[TBL] [Abstract][Full Text] [Related]
17. Clinical narrative-aware deep neural network for emergency department critical outcome prediction.
Chen MC; Huang TY; Chen TY; Boonyarat P; Chang YC
J Biomed Inform; 2023 Feb; 138():104284. PubMed ID: 36632861
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Criticality and clinical department prediction of ED patients using machine learning based on heterogeneous medical data.
Xiao Y; Zhang J; Chi C; Ma Y; Song A
Comput Biol Med; 2023 Oct; 165():107390. PubMed ID: 37659113
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]