137 related articles for article (PubMed ID: 37987135)
1. [Construction of integrated platform for emergency clinical scientific research based on big data].
Zhu G; Li Y; Chen X; Li Y; Zhu Y; Mao H; Qu Z; Li K; Wang S; Yang G; Lu H; Jiang H
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Nov; 35(11):1218-1222. PubMed ID: 37987135
[TBL] [Abstract][Full Text] [Related]
2. Assessing sensitivity and specificity of the Manchester Triage System in the evaluation of acute coronary syndrome in adult patients in emergency care: a systematic review protocol.
Nishi FA; de Motta Maia FO; de Lopes Monteiro da Cruz DA
JBI Database System Rev Implement Rep; 2015 Nov; 13(11):64-73. PubMed ID: 26657465
[TBL] [Abstract][Full Text] [Related]
3. Validation of new trauma triage rules for trauma attending response to the emergency department.
Tinkoff GH; O'Connor RE
J Trauma; 2002 Jun; 52(6):1153-8; discussion 1158-9. PubMed ID: 12045646
[TBL] [Abstract][Full Text] [Related]
4. Abnormal vital signs are strong predictors for intensive care unit admission and in-hospital mortality in adults triaged in the emergency department - a prospective cohort study.
Barfod C; Lauritzen MM; Danker JK; Sölétormos G; Forberg JL; Berlac PA; Lippert F; Lundstrøm LH; Antonsen K; Lange KH
Scand J Trauma Resusc Emerg Med; 2012 Apr; 20():28. PubMed ID: 22490208
[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 predictive value of medical big data for the prognosis of elderly patients with pneumonia: based on the result of clinical database of a Beijing Chaoyang Hospital Consortium Chaoyang Emergency Ward].
Li P; Zhang X; Yin F; Guo L; Ma C; Cai H; Guo S
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2021 Mar; 33(3):338-343. PubMed ID: 33834977
[TBL] [Abstract][Full Text] [Related]
7. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
Zhu M; Hu C; He Y; Qian Y; Tang S; Hu Q; Hao C
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul; 35(7):696-701. PubMed ID: 37545445
[TBL] [Abstract][Full Text] [Related]
8. [Pilot research: construction of emergency rescue database].
Zhao Y; Wang J; Pan F; Li P; Jia L; Li K; Feng C; Liu T; Zhang Z; Cao D; Li T
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2018 Jun; 30(6):609-612. PubMed ID: 30009742
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Current state of trauma care in China, tools to predict death and ICU admission after arrival to hospital.
Kong G; Yin X; Wang T; Body R; Chen YW; Wang J; Cao L; Wu S; Gao J; Wang G; Hu Y; Jiang B
Injury; 2015 Sep; 46(9):1784-9. PubMed ID: 26093963
[TBL] [Abstract][Full Text] [Related]
11. Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review.
Fernandes M; Vieira SM; Leite F; Palos C; Finkelstein S; Sousa JMC
Artif Intell Med; 2020 Jan; 102():101762. PubMed ID: 31980099
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. The impact of evidence-based sepsis guidelines on emergency department clinical practice: a pre-post medical record audit.
Romero B; Fry M; Roche M
J Clin Nurs; 2017 Nov; 26(21-22):3588-3596. PubMed ID: 28071865
[TBL] [Abstract][Full Text] [Related]
15. [Design and implementation of an integrated information platform for emergency interconnection].
Mao S; Xu W; Ge Z; Cao J; Xia Z
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2019 Jul; 31(7):884-889. PubMed ID: 31441415
[TBL] [Abstract][Full Text] [Related]
16. [Introduction of critical care database based on specialized information systems: a model of critical care medicine database in large Level III Grade A hospital].
Qi S; Mao Z; Hu X; Liu C; Kang H; Zhou F
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2020 Jun; 32(6):743-749. PubMed ID: 32684224
[TBL] [Abstract][Full Text] [Related]
17. Characteristics and Admission Preferences of Pediatric Emergency Patients and Their Waiting Time Prediction Using Electronic Medical Record Data: Retrospective Comparative Analysis.
Guo LL; Guo LY; Li J; Gu YW; Wang JY; Cui Y; Qian Q; Chen T; Jiang R; Zheng S
J Med Internet Res; 2023 Nov; 25():e49605. PubMed ID: 37910168
[TBL] [Abstract][Full Text] [Related]
18. [Reliability and validity of four-level and three-district triage standards in emergency department: a randomized sampling cross-sectional study of 1 106 adult patients].
Zhu A; Zhang J; Zhang H; Zhang Y
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2017 May; 29(5):453-458. PubMed ID: 28524036
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. The prognastic efficiencies of modified early warning score and mainz emergency evaluation score for emergency department patients.
Akgun FS; Ertan C; Yucel N
Niger J Clin Pract; 2018 Dec; 21(12):1590-1595. PubMed ID: 30560822
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
