AIMC Topic: Disease Hotspot

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Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models.

Journal of endocrinological investigation Sep 15, 2021
PURPOSE: Polycystic Ovary Syndrome (PCOS) is the most frequent endocrinopathy in women of reproductive age. Machine learning (ML) is the area of artificial intelligence with a focus on predictive computing algorithms. We aimed to define the most rele...
Humans Artificial Intelligence Machine Learning Algorithms Precision Medicine Female Adult Insulin Resistance Body Mass Index Metabolic Networks and Pathways Polycystic Ovary Syndrome Preventive Health Services Biological Variation, Population Disease Hotspot
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Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records.

Journal of biomedical informatics Dec 28, 2019
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learning, as opposed to supervised learning, has shown promise in identifying...
Humans Machine Learning Electronic Health Records Models, Statistical Unsupervised Machine Learning Disease Hotspot
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