SmartHealth: Personalized Diet and Exercise Plans Using Similarity Modeling

Due to the growing prevalence of chronic diseases stemming from unhealthy lifestyles, a personalized approach to patient care is crucial. This paper delves into a system that utilizes cosine similarity and Pearson correlation to generate tailored diet and exercise plans, effectively managing chronic...

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Bibliographic Details
Published in2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies pp. 1 - 6
Main Authors Kulkarni, Kiran S, Bansal, Darvesh, Bhagat, Vandana Vijay, Ganie, Ashaq Hussain
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.03.2024
Subjects
Correlation
cosine similarity
healthcare informatics
Hypertension
Informatics
Medical services
Pearson correlation
personalized recommendations
personalized wellness
Quantum computing
Reliability
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Summary:Due to the growing prevalence of chronic diseases stemming from unhealthy lifestyles, a personalized approach to patient care is crucial. This paper delves into a system that utilizes cosine similarity and Pearson correlation to generate tailored diet and exercise plans, effectively managing chronic diseases. The system focuses on common chronic conditions like diabetes, hypertension, and thyroid disorders. Through sophisticated similarity modeling for diet and exercise, the proposed system provides integrated and personalized lifestyle recommendations, outperforming non-personalized or basic rule-based systems.
DOI:10.1109/TQCEBT59414.2024.10545041