BMC Medical Informatics and Decision Making· 2026Q1
Development and external validation of an explainable machine learning model for risk stratification of patients with chronotropic incompetence undergoing exercise stress SPECT-MPI: a dual-center study
- 0citations
- Q1SCImago
- 2026year
Short summary
An explainable XGBoost machine learning model, integrating clinical, exercise, and SPECT-MPI data, accurately stratified cardiovascular risk in patients with chronotropic incompetence, achieving a 5-year AUC of 0.884 in external validation, outperforming traditional models.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Complementary and alternative medicine
Complementary and alternative medicineMedicine