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              <text>SmartHealth: Personalized Diet and Exercise Plans Using Similarity Modeling</text>
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              <text>cosine similarity; healthcare informatics; Pearson correlation; personalized recommendations; personalized wellness</text>
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              <text>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.</text>
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              <text>Kulkarni K.S.; Bansal D.; Bhagat V.V.; Ganie A.H.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545041" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545041&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>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</text>
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