Identifying ventricular arrhythmia and sudden cardiac arrest in clinical notes of an electronic health record database

The unstructured clinical notes of a large EHR database contained the information necessary to serve as a reference standard for validation studies of a VA/SCA operational algorithm in EHR data.

Authors

Institutions

Publication Details

Journal
Future Cardiology
Published
2025-05-18
DOI
https://doi.org/10.1080/14796678.2025.2506956
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying ventricular arrhythmia and sudden cardiac arrest in clinical notes of an electronic health record database

Toshimori Kou, Charles Dharmani, Oluwatosin Fofah, K. Arnold Chan et al.
1 links
Future Cardiology
ECG Monitoring and Analysis
article

Identifying ventricular arrhythmia and sudden cardiac arrest in clinical notes of an electronic health record database

Toshimori Kou, Charles Dharmani, Oluwatosin Fofah, K. Arnold Chan, Neil Dhopeshwarkar, Nora Tu, Nasser Khan
article en

Abstract

The unstructured clinical notes of a large EHR database contained the information necessary to serve as a reference standard for validation studies of a VA/SCA operational algorithm in EHR data.

Future CardiologyVol. 21(8)
Daiichi Sankyo (Germany) (DE), Daiichi-Sankyo (South Korea) (KR)
Good health and well-being
Openalex Percentile: Top 81%
ECG Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.