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©The Author(s) 2025.
World J Cardiol. Apr 26, 2025; 17(4): 104396
Published online Apr 26, 2025. doi: 10.4330/wjc.v17.i4.104396
Published online Apr 26, 2025. doi: 10.4330/wjc.v17.i4.104396
Table 8 Bicycle ergometry
Chars | Point estimate | 95%CI |
AUC | 0.507 | 0.388-0.625 |
Sensitivity | 0.484 | 0.306-0.657 |
Specificity | 0.531 | 0.392-0.673 |
Negative predictive value | 0.619 | 0.465-0.758 |
Positive predictive value | 0.395 | 0.238-0.553 |
- Citation: Marzoog BA, Chomakhidze P, Gognieva D, Silantyev A, Suvorov A, Abdullaev M, Mozzhukhina N, Filippova DA, Kostin SV, Kolpashnikova M, Ershova N, Ushakov N, Mesitskaya D, Kopylov P. Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters. World J Cardiol 2025; 17(4): 104396
- URL: https://www.wjgnet.com/1949-8462/full/v17/i4/104396.htm
- DOI: https://dx.doi.org/10.4330/wjc.v17.i4.104396