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1.
Evaluation of rosuvastatin-induced QT prolongation risk using real-world data, in vitro cardiomyocyte studies, and mortality assessment.
Sci Rep
; 13(1): 8108, 2023 05 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-37208484
2.
Data-driven drug-induced QT prolongation surveillance using adverse reaction signals derived from 12-lead and continuous electrocardiogram data.
PLoS One
; 17(1): e0263117, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35100302
3.
Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk Pregnancies.
Yonsei Med J
; 63(7): 692-700, 2022 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-35748081
4.
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With Dementia.
Front Neuroinform
; 16: 795171, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35356447
5.
Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical Records.
Healthc Inform Res
; 27(3): 182-188, 2021 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-34384200
6.
Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practice.
Sci Rep
; 11(1): 6918, 2021 03 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-33767276
7.
Discovering hidden information in biosignals from patients using artificial intelligence.
Korean J Anesthesiol
; 73(4): 275-284, 2020 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-31955546
8.
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning.
Comput Intell Neurosci
; 2020: 7980434, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32256552
9.
A study on the characteristics of Maslach Burnout Inventory-General Survey (MBI-GS) of workers in one electronics company.
Ann Occup Environ Med
; 31: e29, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31737284
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