118 related articles for article (PubMed ID: 37209410)
1. DEVELOPMENT OF SCORE SYSTEM BASED ON POINT-OF-CARE ULTRASOUND TO PREDICT VASOPRESSOR REQUIREMENT FOR EMERGENCY PATIENTS WITH CARDIOPULMONARY SYMPTOMS.
Kim H; Park YS; Kim JH; Choi YA; Park JW; Lee YH
Shock; 2023 Jul; 60(1):34-41. PubMed ID: 37209410
[TBL] [Abstract][Full Text] [Related]
2. Predictive value of the National Early Warning Score-Lactate for mortality and the need for critical care among general emergency department patients.
Jo S; Yoon J; Lee JB; Jin Y; Jeong T; Park B
J Crit Care; 2016 Dec; 36():60-68. PubMed ID: 27546749
[TBL] [Abstract][Full Text] [Related]
3. Validation of pediatric early warning score in pediatric emergency department.
Chaiyakulsil C; Pandee U
Pediatr Int; 2015 Aug; 57(4):694-8. PubMed ID: 25639996
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Agreement and predictive value of the Rockwood Clinical Frailty Scale at emergency department triage.
Shrier W; Dewar C; Parrella P; Hunt D; Hodgson LE
Emerg Med J; 2021 Dec; 38(12):868-873. PubMed ID: 33172880
[TBL] [Abstract][Full Text] [Related]
6. Diagnostic characteristics of a clinical screening tool in combination with measuring bedside lactate level in emergency department patients with suspected sepsis.
Singer AJ; Taylor M; Domingo A; Ghazipura S; Khorasonchi A; Thode HC; Shapiro NI
Acad Emerg Med; 2014 Aug; 21(8):853-7. PubMed ID: 25155163
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of a novel 5-group classification system of sepsis by vasopressor use and initial serum lactate in the emergency department.
Swenson KE; Dziura JD; Aydin A; Reynolds J; Wira CR
Intern Emerg Med; 2018 Mar; 13(2):257-268. PubMed ID: 28132131
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. PREDICTing Mortality in the Emergency Department: External Validation and Derivation of a Clinical Prediction Tool.
Moman RN; Loprinzi Brauer CE; Kelsey KM; Havyer RD; Lohse CM; Bellolio MF
Acad Emerg Med; 2017 Jul; 24(7):822-831. PubMed ID: 28401622
[TBL] [Abstract][Full Text] [Related]
11. Developing and validating a model for predicting 7-day mortality of patients admitted from the emergency department: an initial alarm score by a prospective prediction model study.
Hsieh MJ; Hsu NC; Lin YF; Shu CC; Chiang WC; Ma MH; Sheng WH
BMJ Open; 2021 Jan; 11(1):e040837. PubMed ID: 33397665
[TBL] [Abstract][Full Text] [Related]
12. Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions.
Xie F; Ong MEH; Liew JNMH; Tan KBK; Ho AFW; Nadarajan GD; Low LL; Kwan YH; Goldstein BA; Matchar DB; Chakraborty B; Liu N
JAMA Netw Open; 2021 Aug; 4(8):e2118467. PubMed ID: 34448870
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Novel model for predicting inpatient mortality after emergency admission to hospital in Singapore: retrospective observational study.
Xie F; Liu N; Wu SX; Ang Y; Low LL; Ho AFW; Lam SSW; Matchar DB; Ong MEH; Chakraborty B
BMJ Open; 2019 Sep; 9(9):e031382. PubMed ID: 31558458
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. Identifying the Sickest During Triage: Using Point-of-Care Severity Scores to Predict Prognosis in Emergency Department Patients With Suspected Sepsis.
Prasad PA; Fang MC; Martinez SP; Liu KD; Kangelaris KN
J Hosp Med; 2021 Aug; 16(8):453-461. PubMed ID: 34328843
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Validation of deep-learning-based triage and acuity score using a large national dataset.
Kwon JM; Lee Y; Lee Y; Lee S; Park H; Park J
PLoS One; 2018; 13(10):e0205836. PubMed ID: 30321231
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
