Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

Identification of the optimal machine learning pipelines and external validation results. The performance of best performing pipelines in the external validation cohort of 726 patients in comparison ...

Concepts of ν-fold cross-validation and repeated learning-testing methods have been introduced here. In many problems, these methods are computationally much less expensive than ordinary ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Frequently asked Questions What is cross-validation in machine learning? Cross-validation is a statistical method used to evaluate machine learning models.

Researchers at Tohoku University have applied explainable machine learning to identify key factors for nickel-based catalysts ...

Jaeckle and colleagues assessed the performance of machine learning models to diagnose celiac disease based on duodenal biopsies. 2. The machine learning models achieved accuracy above 90% and similar ...