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This project predicts whether an individual has ever smoked using health data such as blood pressure, cholesterol, and body measurements. Based on a dataset from South Korea, various models like logistic regression, Lasso, and Ridge are used. The goal is to support public health by understanding smoking patterns.
This is a reproducible Bayesian Network analysis for the modification effect of Socioeconomic status on the effect of smoking on asthma-related outcomes
This is a dashboard project about Public health priorities of Scotland covering about Life Expectancy over the past 5-10 years and 2 health topics namely Smoking and Drug Use (completed as a part of D10 Group Project in Codeclan).
This project focuses on analyzing the "Smoking" dataset and building a predictive model for smoking status based on various health metrics. The goal is to identify factors influencing smoking behavior and develop a reliable model for prediction.
Virtual coach Kai that proposes preparatory activities for quitting smoking and becoming more physically active with possible human support between sessions.