The purpose of this study is to develop and compare algorithms for detecting body mass index (BMI) and risk factors. BMI is a measure that uses height and weight to estimate body fat. Risk factors are characteristics or conditions that increase the chance of developing a disease. This study will use both structured data, which is organized and easy to analyze, and unstructured data, which is more complex and includes things like text or images.
Participants in this study will undergo procedures that involve analyzing their health data to detect BMI and risk factors. The study will involve using computer programs to process and compare different types of data to see how well they can identify these health indicators.
- Who can participate: Individuals aged 18-65 with varying health profiles are eligible to participate. Key eligibility factors include not having any chronic diseases and being able to provide informed consent.
- Study details: Participants will provide health data for analysis. The study will compare different computer algorithms to see how well they detect BMI and risk factors.
