Age, sex, hypertension and the sensitivity and specificity of traditional, new and a machine learning ECG criteria for prediction of left ventricular hypertrophy.
Saved in:
| Title: | Age, sex, hypertension and the sensitivity and specificity of traditional, new and a machine learning ECG criteria for prediction of left ventricular hypertrophy. |
|---|---|
| Authors: | Yoosefi N; Faculty of Medicine, University of British Columbia, Vancouver, Canada., Zhou JCJ; Faculty of Medicine, University of British Columbia, Vancouver, Canada., Khosrokhavar G; Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, the Netherlands., Rabkin SW; Faculty of Medicine, University of British Columbia, Vancouver, Canada; Division of Cardiology, Department of Medicine, University of British Columbia, Vancouver, Canada. Electronic address: simon.rabkin@ubc.ca. |
| Source: | Journal of electrocardiology [J Electrocardiol] 2025 Sep-Oct; Vol. 92, pp. 154052. Date of Electronic Publication: 2025 Jun 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Churchill Livingstone Country of Publication: United States NLM ID: 0153605 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8430 (Electronic) Linking ISSN: 00220736 NLM ISO Abbreviation: J Electrocardiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1532-8430 |
|---|---|
| DOI: | 10.1016/j.jelectrocard.2025.154052 |
