peixotopsi-ctrl/Machine-learning-based-prediction-of-severe-neurocognitive-impairment-phenotype-in-ACS: Neurocognitive impairment phenotype in acute coronary syndrome
Abstract
The primary goal is to use Supervised Machine Learning to predict and validate neurocognitive phenotypes (clusters) previously identified through unsupervised learning (K-Means
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 January 2026