MedPage Today

Machine Learning Consensus Clustering to Assess Hyperkalemia Mortality Risk

Those with chronic kidney disease, heart failure, diabetes, and hypertension bear an increased burden of hyperkalemia. Untreated hyperkalemia can lead to life-threatening neuromuscular and cardiac ...
ascopubs.org

Improved Interpretability of Machine Learning Model Using Unsupervised Clustering: Predicting Time to First Treatment in Chronic Lymphocytic Leukemia

PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks Time to event is an important aspect of clinical decision making. This is particularly true when diseases have highly ...
The Motley Fool

What Is Unsupervised Machine Learning?

Unsupervised machine learning explores data to find new patterns without set goals. It fuels advancements in tech fields like autonomous driving and content recommendations. Investors can use ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
The American Journal of Managed Care

Machine-Learning Approach Identifies 3 Behavioral Phenotypes of TLE

Patients in this study, who had overall significantly higher scores than controls, fell into 3 categories of psychological risk from temporal lobe epilepsy (TLE) based on analysis with unsupervised ...