Paper Title
Life Span Calculation VIA Food Consumption: A Comprehensive Analysis of Diet and Lifestyle Factors
Article Identifiers
Authors
Sankara rao L , Devaraju sai spandana , Bogipilli praveen kumar , Bandi sai saketh , Karreddula Roshan Yag , Shaik Asif
Keywords
Predictive Modeling, Life Expectancy, Diet, Lifestyle Factors, Machine Learning, K-Nearest Neighbors, Multi Layered Perceptron, Gradient Boosting, XGBoost, Linear Regression, Root Mean Squared Error, Feature Importance
Abstract
Life expectancy is a critical health indicator that reflects the overall well-being of individuals. In recent years, there has been growing interest in understanding the impact of lifestyle choices and dietary habits on life expectancy. This research paper presents a comprehensive analysis of predictive models for estimating life expectancy using a dataset that includes various lifestyle and dietary features. The study explores a range of machine learning approaches, including K-Nearest Neighbors (KNN), KNN with hyperparameter tuning, XGBoost, Gradient Boosting, and Linear Regression, as well as deep learning models with two different Multi Layered Perceptron (MLP)architectures. These models are trained on a diverse set of input variables, such as meals per day, exercise hours, stress levels, and pre-existing conditions. We preprocess the data, handle categorical features, and scale numerical attributes to ensure robust model performance. Our findings reveal that the XG Boost model outperforms the other machine learning approaches, achieving a root mean squared error (RMSE) of 4.84. The models highlight the significance of stress management, exercise, and balanced nutrition in influencing life expectancy. Additionally, we provide insights into feature importance, shedding light on the relative contributions of different factors. This research contributes to the field of health analytics by emphasizing the role of lifestyle choices in shaping longevity. Policymakers, healthcare professionals, and individuals can leverage these insights to promote healthier living and enhance overall quality of life.
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How To Cite (APA)
Sankara rao L, Devaraju sai spandana, Bogipilli praveen kumar, Bandi sai saketh, & Karreddula Roshan Yag , Shaik Asif (April-2024). Life Span Calculation VIA Food Consumption: A Comprehensive Analysis of Diet and Lifestyle Factors. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), g94-g99. https://ijnrd.org/papers/IJNRD2404610.pdf
Issue
Volume 9 Issue 4, April-2024
Pages : g94-g99
Other Publication Details
Paper Reg. ID: IJNRD_219562
Published Paper Id: IJNRD2404610
Downloads: 000121989
Research Area: Engineering
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2404610.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404610
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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