Article

Machine Learning–Driven Drug Optimization for Typhoid Fever Based on Patient Profiles

2025-12-07

Abstract excerpt

<h4>Introduction</h4> Typhoid fever remains a major Global public health concern, with treatment outcomes dependent on antimicrobial resistance (AMR) and patient variability. Clinically determining the best medication for a certain patient can be difficult. Machine learning–based clinical decision support systems (CDSS) offer a promising avenue for improving diagnostic accuracy and guiding antibiotic selection us...

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Literature Corpus work: 71939f45-1a57-5ad0-b728-280d61262f68
DOI: 10.64898/2025.12.03.25341570

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