 |
|
Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical Records
Tae Young Kim, Byung Jin Choi, Yeryung Koo, Sukhoon Lee, Dukyong Yoon
Healthc Inform Res. 2021;27(3):182-188. Published online 2021 Jul 31 DOI: https://doi.org/10.4258/hir.2021.27.3.182
|
|
Citations to this article as recorded by
 Determining sensitivity and specificity of risk scores for QTc interval prolongation in hemato-oncology patients prescribed systemic antifungal therapy: a retrospective cross-sectional study
Julian Steinbrech, Till Klein, Stephanie Kirschke, Hanna Mannell, Sebastian Clauß, Thilo Bertsche, Dorothea Strobach
International Journal of Clinical Pharmacy.2024;[Epub] CrossRef Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review
Izak A R Yasrebi-de Kom, Dave A Dongelmans, Nicolette F de Keizer, Kitty J Jager, Martijn C Schut, Ameen Abu-Hanna, Joanna E Klopotowska
Journal of the American Medical Informatics Association.2023; 30(5): 978. CrossRef ECG SIGNAL QUANTITATIVE ANALYSIS BASED ON EXTREMUM ENERGY DECOMPOSITION METHOD
YANYU ZHOU, YIHUA SONG, KANKAN SHE, XINXIA LI, YU HU, XINBAO NING
Journal of Mechanics in Medicine and Biology.2023;[Epub] CrossRef Data-driven drug-induced QT prolongation surveillance using adverse reaction signals derived from 12-lead and continuous electrocardiogram data
Byung Jin Choi, Yeryung Koo, Tae Young Kim, Hong-Seok Lim, Dukyong Yoon, Chiara Lazzeri
PLOS ONE.2022; 17(1): e0263117. CrossRef
|