Andersen, Færch, Vistisen, Scholten, v., Jørgensen, Cichosz, & Jensen (2026). Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning-a proof-of-concept study.. Cardiovascular diabetology.
Andersen, Færch, Vistisen, Scholten v, Jørgensen, Cichosz, et al. Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning-a proof-of-concept study.. Cardiovascular diabetology. 2026; PMID: 42144637
Andersen, Færch, Vistisen, et al. Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning-a proof-of-concept study.[J]. Cardiovascular diabetology. 2026.
@article{andersen2026,
author = {Andersen and Færch and Vistisen and von Scholten and Jørgensen and Cichosz and Jensen},
title = {Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning-a proof-of-concept study.},
journal = {Cardiovascular diabetology},
year = {2026},
note = {PMID: 42144637},
}
TY - JOUR AU - Andersen AU - Færch AU - Vistisen AU - von Scholten AU - Jørgensen AU - Cichosz AU - Jensen TI - Predicting cardiovascular death in overweight/obese people with prediabetes using machine learning-a proof-of-concept study. T2 - Cardiovascular diabetology PY - 2026 AN - PMID:42144637 ER -
Individuals with prediabetes face an increased risk of cardiovascular (CV) complications, which can ultimately lead to premature mortality. However, existing risk stratification tools are not targeted for people with prediabetes. We aimed to develop a simple explainable model to predict if a person will develop a fatal CV outcome or not among people with prediabetes.