Does catboost improve risk prediction?

The CatBoost algorithm model improved risk prediction compared with the CAD consortium clinical model (AUROC 0.726, 95% CI 0.664–0.789; MCC 0.223). The accuracy of the ML model was 74.3%.

Which biomarkers predict obstructive CAD?

Age, sex, hypertension, high-sensitivity cardiac troponin T, hemoglobin A1c, triglyceride, and high-density lipoprotein cholesterol levels contributed the most to obstructive CAD prediction. Conclusions: The ML models using clinically relevant biomarkers provided high accuracy for stable obstructive CAD prediction.

Can ML models predict obstructive CAD?

Conclusion: The ML models using clinically relevant biomarkers provided high accuracy for stable obstructive CAD prediction. In real-world practice, employing such an approach could improve discrimination of patients with suspected obstructive CAD and help select appropriate non-invasive testing for ischemia.

Is the GBP/CAD forecast for 2025 bearish?

For the longer term, the GBP/CAD forecast for 2025 from algorithm-based forecaster Wallet Investor was bearish on the outlook for sterling at the time of writing (8 December), projecting that it could drop back to 1.525 by the end of the year after falling from 1.635 at the start of 2023 to 1.599 at the end of next year.