AI-driven risk prediction and categorization in cystic fibrosis leveraging AttentiveLSTM and Fox Wolf Optimizer.

Abstract excerpt

Cystic fibrosis (CF), a genetic disorder stemming from CFTR gene mutations, requires accurate risk prediction to improve management. Modulator therapies have advanced treatment but remain limited, as they don't cover all gene variants and face accessibility issues. To address these challenges, a novel Cystic Fibrosis Risk Prediction Framework (CGRPF) is proposed. CGRPF utilizes mean imputation for missing data,...

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