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

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 ...

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.

Cardiovascular disease is the leading cause of death not only in the United States but globally, per the World Health ...

Study aims to develop a machine learning model to predict cardiovascular disease using indicators of oral infections Mar 17, 2023 ECG-based AI model can predict undiagnosed structural heart disease ...

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 ...

The researchers found many cases in which a disease-associated mutation appeared to change a protein’s localization. They tested twenty examples in cells, using fluorescence to compare where in the ...

Their model offers a transparent, data-driven approach that could help clinicians better assess risk and personalize treatment for children with this life-threatening disease ... Looking ahead, the ...