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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Life Span Calculation VIA Food Consumption: A Comprehensive Analysis of Diet and Lifestyle Factors |
| Authors Name: | Sankara rao L , Devaraju sai spandana , Bogipilli praveen kumar , Bandi sai saketh , Karreddula Roshan Yag , Shaik Asif |
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IJNRD_219562
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| Published Paper Id: | IJNRD2404610 |
| Published In: | Volume 9 Issue 4, April-2024 |
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| 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. |
| 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 |
| Cite Article: | "Life Span Calculation VIA Food Consumption: A Comprehensive Analysis of Diet and Lifestyle Factors", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g94-g99, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404610.pdf |
| Downloads: | 00034 |
| 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 |
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Published Paper ID:IJNRD2404610 Registration ID: 219562 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: g94-g99 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404610 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404610 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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