[HTML][HTML] Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review

S Kierner, J Kucharski, Z Kierner - Journal of Biomedical Informatics, 2023 - Elsevier
Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

Integrated quantitative targeted lipidomics and proteomics reveal unique fingerprints of multiple metabolic conditions

AA Ivanova, JC Rees, BA Parks, M Andrews… - Biomolecules, 2022 - mdpi.com
Aberrations in lipid and lipoprotein metabolic pathways can lead to numerous diseases,
including cardiovascular disease, diabetes, neurological disorders, and cancer. The …

Enhancing Medical Learning and Reasoning Systems: A Boxology-Based Comparative Analysis of Design Patterns

CH Ng - arXiv preprint arXiv:2408.02709, 2024 - arxiv.org
This study analyzes hybrid AI systems' design patterns and their effectiveness in clinical
decision-making using the boxology framework. It categorizes and copares various …

[HTML][HTML] Coordinating Qualitative Predictor Variables in an Applied Linear Model: Analysis and Application for Applied Sciences

WMAW Ahmad Sr, F Ahmed, MN Adnan - Cureus, 2024 - ncbi.nlm.nih.gov
Background In applied sciences, statistical models are pivotal for uncovering relationships in
complex datasets. The applied linear model establishes associative links between variables …

[PDF][PDF] Computational statistical modelling for parameters optimization of LDL-cholesterol levels in patients with type 2 diabetes

WMAW Ahmad, FMM Ghazali… - … Journal of Medical …, 2024 - researchgate.net
Computational statistical modelling for parameters optimization of LDL-cholesterol levels in
patients with type 2 diabetes Page 1 505 Computational statistical modelling for parameters …