Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction

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Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction Publisher

Kazemian S^{1, 2} ; Issaiy M³ ; Hosseini K^{1, 2}

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1. Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran Heart Center, Kargar St. Jalal al-Ahmad Cross, Tehran, 1411713138, Iran
2. Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Imam Khomeini Hospital Complex, Tohid Square, Tehran, 1419733141, Iran
3. Advanced Diagnostic and Interventional Radiology Research Center (ADHR), Tehran University of Medical Sciences, Tehran, Iran

Source: European Heart Journal - Digital Health Published:2024

Abstract

[No abstract available]

Style	Citing Format
MLA	Kazemian S, Issaiy M, Hosseini K. "Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction." European Heart Journal - Digital Health, vol. 5, no. 1, 2024, pp. 1-2.
APA	Kazemian S, Issaiy M, Hosseini K (2024). Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction. European Heart Journal - Digital Health, 5(1), 1-2.
Chicago	Kazemian S, Issaiy M, Hosseini K. "Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction." European Heart Journal - Digital Health 5, no. 1 (2024): 1-2.
Harvard	Kazemian S, Issaiy M, Hosseini K (2024) 'Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction', European Heart Journal - Digital Health, 5(1), pp. 1-2.
Vancouver	Kazemian S, Issaiy M, Hosseini K. Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction. European Heart Journal - Digital Health. 2024;5(1):1-2.
BibTex	@article{ author = {Kazemian S and Issaiy M and Hosseini K}, title = {Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction}, journal = {European Heart Journal - Digital Health}, volume = {5}, number = {1}, pages = {1-2}, year = {2024} }
RIS	TY - JOUR AU - Kazemian S AU - Issaiy M AU - Hosseini K TI - Challenges in Developing and Validating Machine Learning Models for Transcatheter Aortic Valve Implantation Mortality Risk Prediction JO - European Heart Journal - Digital Health VL - 5 IS - 1 SP - 1 EP - 2 PY - 2024 ER -

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