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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.
Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory.
Sensors (Basel)
; 22(6)2022 Mar 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-35336499
3.
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
4.
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
5.
Using Machine Learning for the Risk Factors Classification of Glycemic Control in Type 2 Diabetes Mellitus.
Healthcare (Basel)
; 11(8)2023 Apr 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37107975
6.
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
7.
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
8.
Use of Machine Learning to Differentiate Children With Kawasaki Disease From Other Febrile Children in a Pediatric Emergency Department.
JAMA Netw Open
; 6(4): e237489, 2023 04 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-37040115
9.
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
10.
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
11.
Deep Learning Assisted Detection of Abdominal Free Fluid in Morison's Pouch During Focused Assessment With Sonography in Trauma.
Front Med (Lausanne)
; 8: 707437, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34631730
12.
Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.
Biomed Res Int
; 2021: 9590131, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34589553
13.
Using a Multiclass Machine Learning Model to Predict the Outcome of Acute Ischemic Stroke Requiring Reperfusion Therapy.
Diagnostics (Basel)
; 11(1)2021 Jan 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-33419013
14.
Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department.
J Clin Med
; 10(9)2021 Apr 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-33925973
15.
Risk of motor vehicle collisions after methadone use.
Elife
; 102021 08 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-34351275
16.
Using Machine Learning to Predict Bacteremia in Febrile Children Presented to the Emergency Department.
Diagnostics (Basel)
; 10(5)2020 May 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-32429293
17.
Risk factors for depression in patients with Parkinson's disease: A nationwide nested case-control study.
PLoS One
; 15(7): e0236443, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32716954
18.
A Multifactorial Evaluation of the Effects of Air Pollution and Meteorological Factors on Asthma Exacerbation.
Int J Environ Res Public Health
; 17(11)2020 06 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-32512940
19.
Increased ischemic stroke risk in patients with Behçet's disease: A nationwide population-based cohort study.
PLoS One
; 14(6): e0218652, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31237911
20.
Use of a Deep-Learning Algorithm to Guide Novices in Performing Focused Assessment With Sonography in Trauma.
JAMA Netw Open
; 6(3): e235102, 2023 03 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36976564