Detalhe da pesquisa
1.
Point-of-care testing for adult out-of-hospital cardiac arrest resuscitated at the ED to predict ROSC: Development and external validation of POC-ED-ROSC model.
Am J Emerg Med
; 71: 86-94, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37354894
2.
Acute exacerbation of chronic obstructive pulmonary disease in United States emergency departments, 2010-2018.
BMC Pulm Med
; 23(1): 217, 2023 Jun 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37340379
3.
Pain trajectories in the emergency department: Patient characteristics and clinical outcomes.
Am J Emerg Med
; 55: 111-116, 2022 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-35306437
4.
Barriers to bystanders defibrillation: A national survey on public awareness and willingness of bystanders defibrillationâ.
J Formos Med Assoc
; 120(3): 974-982, 2021 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-33218851
5.
Public knowledge, attitudes and willingness regarding bystander cardiopulmonary resuscitation: A nationwide survey in Taiwan.
J Formos Med Assoc
; 118(2): 572-581, 2019 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-30190091
6.
A novel depth estimation algorithm of chest compression for feedback of high-quality cardiopulmonary resuscitation based on a smartwatch.
J Biomed Inform
; 87: 60-65, 2018 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-30268843
7.
The incidence, predictors, and causes of cardiac arrest in United States emergency departments.
Resusc Plus
; 17: 100514, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38076384
8.
Prognostic Impact of Heart Rhythm Shockability Trajectory in Out-of-Hospital Cardiac Arrest: A Multicenter Retrospective Study.
Circ Cardiovasc Qual Outcomes
; : e010649, 2024 May 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-38757266
9.
Development and External Validation of Clinical Features-based Machine Learning Models for Predicting COVID-19 in the Emergency Department.
West J Emerg Med
; 25(1): 67-78, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-38205987
10.
Social network analysis of nationwide interhospital emergency department transfers in Taiwan.
Sci Rep
; 13(1): 2311, 2023 02 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-36759680
11.
Machine learning to predict in-hospital cardiac arrest from patients presenting to the emergency department.
Intern Emerg Med
; 18(2): 595-605, 2023 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-36335518
12.
Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method.
West J Emerg Med
; 24(4): 693-702, 2023 Jul 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-37527373
13.
End-tidal Carbon Dioxide + Return of Spontaneous Circulation After Cardiac Arrest (RACA) Score to Predict Outcomes After Out-of-hospital Cardiac Arrest.
West J Emerg Med
; 24(3): 605-614, 2023 04 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-37278780
14.
Prospective study of pain and patient outcomes in the emergency department: a tale of two pain assessment methods.
Scand J Trauma Resusc Emerg Med
; 31(1): 56, 2023 Oct 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-37872561
15.
Pulmonary embolism in United States emergency departments, 2010-2018.
Sci Rep
; 13(1): 9070, 2023 06 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37277498
16.
Unveiling the future of COVID-19 patient care: groundbreaking prediction models for severe outcomes or mortality in hospitalized cases.
Front Med (Lausanne)
; 10: 1289968, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38249981
17.
Development and Validation of a Novel Triage Tool for Predicting Cardiac Arrest in the Emergency Department.
West J Emerg Med
; 23(2): 258-267, 2022 Feb 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-35302462
18.
Clinical Characteristics of Patients Returning to Emergency Department With Initial False-Negative Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)-Based COVID-19 Test.
J Acute Med
; 12(1): 29-33, 2022 Mar 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35619725
19.
In-Hospital Cardiac Arrest in United States Emergency Departments, 2010-2018.
Front Cardiovasc Med
; 9: 874461, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35479284
20.
External validation of a triage tool for predicting cardiac arrest in the emergency department.
Sci Rep
; 12(1): 8779, 2022 05 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-35610350