CACTUS: a comprehensive abstraction and classification tool for uncovering structures
The availability of large datasets is providing the impetus for driving many current artificial
intelligent developments. However, specific challenges arise in developing solutions that …
intelligent developments. However, specific challenges arise in developing solutions that …
[HTML][HTML] Stratifying risk of disease in haematuria patients using machine learning techniques to improve diagnostics
A Drożdż, B Duggan, MW Ruddock, CN Reid… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Background Detailed and invasive clinical investigations are required to identify the causes
of haematuria. Highly unbalanced patient population (predominantly male) and a wide …
of haematuria. Highly unbalanced patient population (predominantly male) and a wide …
The Significance of Data Abstraction Methods in Machine Learning Classification Processes for Critical Decision-Making
The applicability of widely adopted machine learning (ML) methods to classification is
circumscribed by the imperatives of explicability and uncertainty, particularly evident in …
circumscribed by the imperatives of explicability and uncertainty, particularly evident in …