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

After feature selection, modeling was conducted using a 10-fold cross validated boosted ensembles approach, a machine learning algorithm called LogitBoost, to analyze clinical, PET, and CCTA data.

Hybrid imaging: A 70-year-old patient presented with diffused largely non-calcified disease (centre panel in red) in the left anterior descending (LAD) artery and demonstrated increased 18 F-NaF ...

The use of machine learning, says Keane, can overcome this challenge. Using AI to diagnose disease from eye scans has proven to be one of the fastest-developing fields of machine learning medicine.

Specifically, the researchers developed a diuretic efficiency phenomapping approach for patients with ADHF by using publicly available and deidentified data from several clinical trials and ...