Life Span Calculation VIA Food Consumption: A Comprehensive Analysis of Diet and Lifestyle Factors

Life Span Calculation VIA Food Consumption: A Comprehensive Analysis of Diet and Lifestyle Factors

Registration ID: IJNRD_219562

Published ID: IJNRD2404610

DOI: Click Here to Get

Sankara rao L , Devaraju sai spandana , Bogipilli praveen kumar , Bandi sai saketh , Karreddula Roshan Yag , Shaik Asif

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

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.

Published Paper   E-Certificate

"Life Span Calculation VIA Food Consumption: A Comprehensive Analysis of Diet and Lifestyle Factors", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g94-g99, April-2024, Available :https://ijnrd.org/papers/IJNRD2404610.pdf

Volume 9 Issue 4, April-2024

Pages : g94-g99

Paper Reg. ID: IJNRD_219562

Published Paper Id: IJNRD2404610

Downloads: 000121177

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404610.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404610

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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