In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...

A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Using the machine learning models, the scientists could establish that among the metrics evaluated, EKG was the most efficient in detecting cardiovascular disease in both men and women.

An analysis on 1,194 patients with NSCLC was performed to evaluate the prognostic signatures of quantitative imaging features, extracted with deep learning. 27 In our work, we trained machine learning ...

More information: Yu Xu, Machine learning optimized polygenic scores for blood cell traits stratify sex-specific trajectories and identify genetic correlations with disease, Cell Genomics (2022 ...

Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction. Scientific Reports , 2023; 13 (1) DOI: 10.1038/s41598-023-27551-1 ...