Drinking and smoking can have detrimental effects on the human body. Smoking is a leading cause of lung cancer, respiratory issues, and heart disease, while excessive alcohol consumption can damage the liver, increase the risk of certain cancers, and lead to addiction. Both habits can have a negative impact on mental health and may contribute to various chronic health conditions. It's crucial to understand these risks and make informed choices to safeguard your well-being. Introducing a comprehensive prediction system for the effects of smoking and drinking on the human body, this innovative tool utilizes vast data and scientific research to forecast the potential impacts on various bodily systems. By incorporating information on individual habits, frequency, and duration of smoking and drinking, this system employs predictive algorithms to anticipate the potential consequences on health. By leveraging machine learning models and predictive analytics, the system offers users an insight into their potential health trajectory, encouraging informed decisions and proactive measures to mitigate health risks associated with smoking and drinking. Smoking and drinking dataset with body signal is used for this prediction system, which is publicly available on Kaggle. The dataset contains 24 features that give person’s information.
Data Set: The dataset, Smoking and drinking dataset with body signal was sourced from Kaggle, a popular data science platform. This dataset is collected from National Health Insurance Service in Korea. All personal information and sensitive data were excluded. The purpose of this dataset is to:
- Analysis of body signal
- Classification of smoker or drinker Dataset Link: https://www.kaggle.com/datasets/sooyoungher/smoking-drinking-dataset