CardioMetaHybridOptimizer as a behaviorally adaptive multi-phase metaheuristic framework for interpretable cardiovascular disease diagnosis
Ahmed Kateb Jumaah Al-Nussairi, Yasser Taha Alzubaidi, Ali k Abdul Raheem, Saleem Malik, Kabul Khudaybergenov, Ahmed Shakir Al-Hiti, Quadri Noorulhasan Naveed, Shafat khan, Aseel Smerat, Mequanent Erkie Ayele · 2026
Read CardioMetaHybridOptimizer as a behaviorally adaptive multi-phase metaheuristic framework for interpretable cardiovascular disease diagnosis by Ahmed Kateb Jumaah Al-Nussairi, Yasser Taha Alzubaidi, Ali k Abdul Raheem, Saleem Malik, Kabul Khudaybergenov, Ahmed Shakir Al-Hiti, Quadri Noorulhasan Naveed, Shafat khan, Aseel Smerat, Mequanent Erkie Ayele (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13474513.txt.
Description
Al-Nussairi and co-authors built the CardioMetaHybridOptimizer, a feature-selection system that rotates three animal-inspired search algorithms to pick the most informative clinical variables before a neural network judges heart disease risk. Their 2026 framework feeds the chosen features to a CNN-LSTM classifier and was tested on five classic benchmark datasets, from Cleveland to Long Beach VA, with tenfold cross-validation repeated ten times.
The hybrid reached 96.1% classification accuracy, beating standard selectors such as recursive feature elimination and Lasso by 3 to 5% at clear significance across the analysis-of-variance checks. Adaptive switching between the three optimizers, dynamic mutation, and local search cut iteration counts by 30 to 50% against fixed plans. The authors pitch the system as decision support that stays interpretable because doctors can see exactly which biomarkers the model kept.
Catalog record
| CREATOR | Ahmed Kateb Jumaah Al-Nussairi, Yasser Taha Alzubaidi, Ali k Abdul Raheem, Saleem Malik, Kabul Khudaybergenov, Ahmed Shakir Al-Hiti, Quadri Noorulhasan Naveed, Shafat khan, Aseel Smerat, Mequanent Erkie Ayele |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 72 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |