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1.
Using Deep Transfer Learning to Detect Hyperkalemia From Ambulatory Electrocardiogram Monitors in Intensive Care Units: Personalized Medicine Approach.
J Med Internet Res
; 24(12): e41163, 2022 12 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-36469396
2.
C-Reactive Protein Concentration Can Help to Identify Bacteremia in Children Visiting the Emergency Department: A Single Medical Center Experience.
Pediatr Emerg Care
; 36(6): 291-295, 2020 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-29509648
3.
ICU admission following an unscheduled return visit to the pediatric emergency department within 72 hours.
BMC Pediatr
; 19(1): 268, 2019 08 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-31375075
4.
The influence of crowding on clinical practice in the emergency department.
Am J Emerg Med
; 36(1): 56-60, 2018 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-28705743
5.
The impact of prolonged waiting time for coronary care unit admission on patients with non ST-elevation acute coronary syndrome.
Am J Emerg Med
; 35(8): 1078-1081, 2017 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-28284460
6.
Self-screening to reduce medical resource consumption facing the COVID-19 pandemic.
Emerg Med J
; 37(5): 255, 2020 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-32273299
7.
Cross-Infection Control of Coronavirus Disease 2019 at the Emergency Department in Taiwan.
J Med Syst
; 44(9): 147, 2020 Jul 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-32720194
8.
Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.
Clin Interv Aging
; 19: 1051-1063, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38883992
9.
RAPID-ED: A predictive model for risk assessment of patient's early in-hospital deterioration from emergency department.
Resusc Plus
; 17: 100570, 2024 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-38357677
10.
Explainable deep learning model to predict invasive bacterial infection in febrile young infants: A retrospective study.
Int J Med Inform
; 172: 105007, 2023 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-36731394
11.
Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography.
Front Cardiovasc Med
; 10: 1195235, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37600054
12.
Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm.
Insights Imaging
; 14(1): 43, 2023 Mar 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-36929090
13.
Oral Bacteria and Their Antibiotic Susceptibilities in Taiwanese Venomous Snakes.
Microorganisms
; 10(5)2022 Apr 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-35630396
14.
Association between Ambient Air Pollution and Emergency Room Visits for Pediatric Respiratory Diseases: The Impact of COVID-19 Pandemic.
Toxics
; 10(5)2022 May 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-35622660
15.
Ambient Air Pollution and Risk for Stroke Hospitalization: Impact on Susceptible Groups.
Toxics
; 10(7)2022 Jun 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-35878255
16.
Correction: Yau et al. Risk Factors for Early Return Visits to the Emergency Department in Patients Presenting with Nonspecific Abdominal Pain and the Use of Computed Tomography Scan. Healthcare 2021, 9, 1470.
Healthcare (Basel)
; 10(1)2022 Jan 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-35052341
17.
Clinical Validation of Cardiac Arrest Hospital Prognosis (CAHP) Score and MIRACLE2 Score to Predict Neurologic Outcomes after Out-of-Hospital Cardiac Arrest.
Healthcare (Basel)
; 10(3)2022 Mar 20.
Artículo
en Inglés
| MEDLINE | ID: mdl-35327059
18.
Clinical Validation of the Shock Index, Modified Shock Index, Delta Shock Index, and Shock Index-C for Emergency Department ST-Segment Elevation Myocardial Infarction.
J Clin Med
; 11(19)2022 Oct 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36233705
19.
Utilization of Personalized Machine-Learning to Screen for Dysglycemia from Ambulatory ECG, toward Noninvasive Blood Glucose Monitoring.
Biosensors (Basel)
; 13(1)2022 Dec 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-36671857
20.
Machine learning models for predicting in-hospital mortality in patient with sepsis: Analysis of vital sign dynamics.
Front Med (Lausanne)
; 9: 964667, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36341257