Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Early-onset colorectal cancer (EOCRC) is an area of rapidly intensifying research, as incidence rates among individuals under ...
“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
A novel, hybrid AIT-MDL framework for detecting systemic regime shifts (structural breaks) in complex, non-stationary systems. This repository contains the computational narrative and all code to ...
Improving Breast Cancer Prediction Using Adaptive Synthetic Sampling: A Study on the Coimbra Dataset
Abstract: Class imbalance remains a significant challenge in breast cancer classification, leading to biased predictive models that favor the majority class. Addressing this issue is crucial for ...
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