131 related articles for article (PubMed ID: 35995106)
1. Imbalanced prediction of emergency department admission using natural language processing and deep neural network.
Chen TL; Chen JC; Chang WH; Tsai W; Shih MC; Wildan Nabila A
J Biomed Inform; 2022 Sep; 133():104171. PubMed ID: 35995106
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A development and external validation study in the emergency department.
Choi DH; Choi SW; Kim KH; Choi Y; Kim Y
Am J Emerg Med; 2024 Jun; 80():67-76. PubMed ID: 38507849
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study.
Sudarshan VK; Brabrand M; Range TM; Wiil UK
Comput Biol Med; 2021 Aug; 135():104541. PubMed ID: 34166880
[TBL] [Abstract][Full Text] [Related]
7. Early short-term prediction of emergency department length of stay using natural language processing for low-acuity outpatients.
Chen CH; Hsieh JG; Cheng SL; Lin YL; Lin PH; Jeng JH
Am J Emerg Med; 2020 Nov; 38(11):2368-2373. PubMed ID: 32216994
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Prediction of general medical admission length of stay with natural language processing and deep learning: a pilot study.
Bacchi S; Gluck S; Tan Y; Chim I; Cheng J; Gilbert T; Menon DK; Jannes J; Kleinig T; Koblar S
Intern Emerg Med; 2020 Sep; 15(6):989-995. PubMed ID: 31898204
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Prediction of emergency department patient disposition based on natural language processing of triage notes.
Sterling NW; Patzer RE; Di M; Schrager JD
Int J Med Inform; 2019 Sep; 129():184-188. PubMed ID: 31445253
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Causes of Emergency Department Overcrowding and Blockage of Access to Critical Services in Beijing: A 2-Year Study.
Wang Z; Xiong X; Wang S; Yan J; Springer M; Dellinger RP
J Emerg Med; 2018 May; 54(5):665-673. PubMed ID: 29573904
[TBL] [Abstract][Full Text] [Related]
15. Application of time series analysis in modelling and forecasting emergency department visits in a medical centre in Southern Taiwan.
Juang WC; Huang SJ; Huang FD; Cheng PW; Wann SR
BMJ Open; 2017 Dec; 7(11):e018628. PubMed ID: 29196487
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Advanced diagnostic imaging utilization during emergency department visits in the United States: A predictive modeling study for emergency department triage.
Zhang X; Kim J; Patzer RE; Pitts SR; Chokshi FH; Schrager JD
PLoS One; 2019; 14(4):e0214905. PubMed ID: 30964899
[TBL] [Abstract][Full Text] [Related]
18. Rochester, New York: a decade of emergency department overcrowding.
Schneider S; Zwemer F; Doniger A; Dick R; Czapranski T; Davis E
Acad Emerg Med; 2001 Nov; 8(11):1044-50. PubMed ID: 11691666
[TBL] [Abstract][Full Text] [Related]
19. A case study to investigate the impact of overcrowding indices in emergency departments.
Improta G; Majolo M; Raiola E; Russo G; Longo G; Triassi M
BMC Emerg Med; 2022 Aug; 22(1):143. PubMed ID: 35945503
[TBL] [Abstract][Full Text] [Related]
20. Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.
Feretzakis G; Sakagianni A; Kalles D; Loupelis E; Panteris V; Tzelves L; Chatzikyriakou R; Trakas N; Kolokytha S; Batiani P; Rakopoulou Z; Tika A; Petropoulou S; Dalainas I; Kaldis V
Stud Health Technol Inform; 2022 Jun; 295():405-408. PubMed ID: 35773897
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
