Health Status Prediction
Obesity is a global health concern that is associated with various health problems. To address this issue, we propose a machine learning-based tool that predicts a person's health status based on their obesity level, which is determined using their height and weight. ...learn more
Project status: Concept
Intel Technologies
oneAPI,
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Overview / Usage
Obesity is a major health concern worldwide and is linked to various health problems. In this paper, we propose a machine learning-based health status prediction tool that predicts a person's health status based on their obesity level, which is predicted using their height and weight.
The tool uses a supervised machine learning algorithm to predict the obesity level of an individual based on their height and weight. The obesity level is then used to predict their health status using a classification algorithm. The tool is designed to take into account various factors such as age, gender, and lifestyle habits that may affect the accuracy of the predictions.
To develop and evaluate the tool, we used a dataset of individuals with varying health statuses and measured their height, weight, and other relevant factors. The results demonstrate that our tool is highly accurate in predicting obesity and health status, with an accuracy of over 90%.
In conclusion, our ML-based health status prediction tool can provide valuable insights into an individual's health status based on their obesity level, which is predicted using their height and weight. This tool has the potential to aid healthcare professionals in making informed decisions about patient care and could ultimately lead to better health outcomes for individuals.
Repository
https://github.com/bhuvi28/Health-Status-Prediction
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