ML model for Hypertension prediciton using random forest classifier, XGBoost classifier and SMOTE.
Simple task management app enhanced with home blood pressure (BP) tracking. Integrates features from Harvard Health: https://www.health.harvard.edu/heart-health/track-your-blood-pressure-at-home-the-right-way.
Predictive healthcare analytics project using SPSS and Tableau to identify BP control failure risk factors and evaluate antihypertensive treatment effectiveness.
University Coursework Proof-of-Concept: Utiilsing predictive analysis and machine learning to develop models that can predict the likelihood of the occurrence of chronic illnesses in patients
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