Unsupervised Machine Learning for Patient Stratification in Cardiovascular Disease
Ahmed Bennis, Professor of Cardiology at Ibn Rochd University Hospital, shared on X:
” Unsupervised machine learning for cardiovascular disease. A framework for future studies.
Unsupervised machine learning can improve the characterization and stratification of patients with cardiovascular diseases (CVDs).
Clustering algorithms, which group patients based on patterns in clinical data, can reveal distinct subgroups that may differ in prognosis and treatment response.
Read the full article here.
Article: Unsupervised machine learning for cardiovascular disease: A framework for future studies
Authors:Emmanuel Bresso, Claire Lacomblez, Kévin Duarte, Luca Monzo, Guillaume Baudry, Jasper Tromp, Abhinav Sharma, Nicolas Girerd
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