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Disease Progression of Hypertrophic Cardiomyopathy: Modeling Using Machine Learning
Similarly, ML models were applied to the problem of disease progression for hepatitis C virus [8] for the 5-year prediction problem using longitudinal data. The authors' conclusion was that the boosted survival tree-based models using longitudinal data perform better than cross-sectional or linear models. Last but not least, ML was also used for disease progression and secondary progression detection for multiple sclerosis [6].
JMIR Med Inform 2022;10(2):e30483
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