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1.
Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study.
BMC Med Inform Decis Mak
; 23(1): 56, 2023 04 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37024872
2.
Advantage of Vital Sign Monitoring Using a Wireless Wearable Device for Predicting Septic Shock in Febrile Patients in the Emergency Department: A Machine Learning-Based Analysis.
Sensors (Basel)
; 22(18)2022 Sep 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-36146403
3.
Development of a machine-learning algorithm to predict in-hospital cardiac arrest for emergency department patients using a nationwide database.
Sci Rep
; 12(1): 21797, 2022 12 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-36526686
4.
Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database.
J Cardiovasc Dev Dis
; 9(12)2022 Dec 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-36547427
5.
Fully automated 3D segmentation and separation of multiple cervical vertebrae in CT images using a 2D convolutional neural network.
Comput Methods Programs Biomed
; 184: 105119, 2020 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-31627152
6.
A Review of Fermented Foods with Beneficial Effects on Brain and Cognitive Function.
Prev Nutr Food Sci
; 21(4): 297-309, 2016 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-28078251
7.
Subregional Shape Alterations in the Amygdala in Patients with Panic Disorder.
PLoS One
; 11(6): e0157856, 2016.
Artículo
en Inglés
| MEDLINE | ID: mdl-27336300
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