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Informative Article | Management | India | Volume 10 Issue 10, October 2021 | Rating: 4.8 / 10
Predictive Modeling for Health Score Calculation: Assessing Individual Health Risks and Providing Personalized Recommendations
Abstract: The increasing prevalence of chronic diseases and the growing emphasis on preventive healthcare have led to the development of innovative tools for assessing individual health risks. This paper presents an AI-powered health score calculation system that utilizes user-provided information, including demographics, lifestyle, health history, habits, health conditions, and family medical history, to generate a comprehensive health score. The proposed system employs machine learning algorithms trained on large datasets to identify potential health risks, probable diagnostics, and at-risk health vitals. By comparing an individual's health score with their peers, the system aims to provide motivation for improvement and offer personalized recommendations for necessary health tests to aid in the early detection and prevention of chronic diseases. The health score is calculated using a weightage model that considers the impact of core body vitals based on user inputs and habits. This paper discusses the development, validation, and potential applications of the AI-powered health score calculation system in the context of personalized healthcare.
Keywords: health score, AI, machine learning, personalized healthcare, risk assessment, preventive medicine
Edition: Volume 10 Issue 10, October 2021,
Pages: 1619 - 1621