SmartHealth: Personalized Diet and Exercise Plans Using Similarity Modeling

Title

SmartHealth: Personalized Diet and Exercise Plans Using Similarity Modeling

Creator

Kulkarni K.S.; Bansal D.; Bhagat V.V.; Ganie A.H.

Description

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. 2024 IEEE.

Source

TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024

Date

2024-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

cosine similarity; healthcare informatics; Pearson correlation; personalized recommendations; personalized wellness

Coverage

Kulkarni K.S., Christ University, Department of Data Science, Bangalore, India; Bansal D., Christ University, Department of Data Science, Bangalore, India; Bhagat V.V., Christ University, Department of Data Science, Bangalore, India; Ganie A.H., Christ University, Department of Data Science, Bangalore, India

Rights

Restricted Access

Relation

ISBN: 979-835038427-7

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/TQCEBT59414.2024.10545041

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204492602&doi=10.1109%2fTQCEBT59414.2024.10545041&partnerID=40&md5=7e53885505782bdff5fac5bc94009fff