Author

Lazsla Barna Iantovics

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Open access Oct 2026

Multi-Label Classification of Adverse Drug Reactions Using a Hybrid Approach Integrating Support Vector Machine, Random Forest and Extreme Gradient Boosting

Background/Objectives: Predicting adverse drug reactions (ADRs) is essential for drug safety, but challenging due to the rarity and diversity of certain clinical manifestations. This study aims to enhance multi-label ADR detection by introducing and evaluating biologically inspired strategies, specifically Balanced Thr...

Ana-Maria Cucos, Zsolt Gáll, László Barna Iantovics · Pharmaceuticals · 0 citations

Review Open access Aug 2026

A Systematic Review of Data Science in Early Voice‐Based Detection of Parkinson's and Amyotrophic Lateral Sclerosis Neurodegenerative Diseases

Recent studies have shown that voice analysis provides a feasible, non‐invasive diagnostic alternative for the early detection of neurodegenerative diseases (NDs), such as Parkinson's disease (PD) and Amyotrophic Lateral Sclerosis (ALS), using Artificial Intelligence (AI), primarily machine learning models (MLs) that c...

Abdulazeez Mousa, Fatih Özyurt, Ridwan Boya Marqas Shamoun et al. · WIREs Data Mining and Knowle... · 0 citations