2024
DOI: 10.3390/info15050252
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On the Generalizability of Machine Learning Classification Algorithms and Their Application to the Framingham Heart Study

Nabil Kahouadji

Abstract: The use of machine learning algorithms in healthcare can amplify social injustices and health inequities. While the exacerbation of biases can occur and be compounded during problem selection, data collection, and outcome definition, this research pertains to the generalizability impediments that occur during the development and post-deployment of machine learning classification algorithms. Using the Framingham coronary heart disease data as a case study, we show how to effectively select a probability cutoff … Show more

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