A patient-perspective Power BI analysis of 500 ulcer patients examining risk factors, disease severity, treatment patterns, and outcomes (2015–2025)
Excel-based data analytics project analyzing hospital emergency room operations, patient flow, wait times, admissions, referrals, and healthcare KPIs through interactive dashboards.
A powerful, interactive Python-based data analysis and assessment pipeline designed to process large-scale clinical patient datasets and evaluate individual vital signs against medical reference guidelines.
Project focused on exploring and modeling the T1DiabetesGranada dataset, which contains clinical, biochemical, and continuous glucose monitoring (CGM) data from patients with Type 1 Diabetes.
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