A machine learning tool for identifying newly diagnosed heart failure in individuals with known diabetes in primary care
Aims: We aimed to create a predictive model utilizing machine learning (ML) to identify new cases of congestive heart failure (CHF) in individuals with diabetes in primary health care (PHC) through the analysis of diagnostic data. Methods: We used a sex- and age-matched case–control design. Cases of new CHF were identified across all outpatient care settings 2015–2022 (n = 9098). We included indiv