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Feisal Alaswad

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#machine learning Preprint Aug 2026

Evaluating LLM-Generated Rules for Heart Disease Prediction

Traditional machine learning models consistently outperform LLM-generated rule-based systems in predictive performance, and the LLM-generated rules provide interpretable IF-THEN diagnostic logic that enhances explainability and transparency in clinical decision-making.

Feisal Alaswad, Batoul Aljaddouh, Maher Alrahhal et al. · 0 citations
Open access Jul 2026

Hybrid intelligence effort for software effort estimation in LLM assisted development

This paper introduces the notion of Hybrid Intelligence Effort (HIE), conceptualizing effort as the combined burden of model-performed reasoning and human oversight activities, and compares the explanatory power of traditional estimation metrics against interaction- and oversight-based Hybrid Intelligence dimensions.

Feisal Alaswad, E. Poovammal, Kadiyala Ramana et al. · 1 citation · ⚡1

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