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Title: Using Risk Factors for Disease to Predict Probability of Contracting a Disease in Young Adults: Application to a Machine Learning-based Product That Recommends Lifestyle Changes to Increase Health and Longevity
Authors: John Leddo
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John Leddo METY Technology, Inc.
MLA 8 Leddo, John. "Using Risk Factors for Disease to Predict Probability of Contracting a Disease in Young Adults: Application to a Machine Learning-based Product That Recommends Lifestyle Changes to Increase Health and Longevity." Int. j. of Social Science and Economic Research, vol. 9, no. 6, June 2024, pp. 2009-2018, doi.org/10.46609/IJSSER.2024.v09i06.026. Accessed June 2024. APA 6 Leddo, J. (2024, June). Using Risk Factors for Disease to Predict Probability of Contracting a Disease in Young Adults: Application to a Machine Learning-based Product That Recommends Lifestyle Changes to Increase Health and Longevity. Int. j. of Social Science and Economic Research, 9(6), 2009-2018. Retrieved from https://doi.org/10.46609/IJSSER.2024.v09i06.026 Chicago Leddo, John. "Using Risk Factors for Disease to Predict Probability of Contracting a Disease in Young Adults: Application to a Machine Learning-based Product That Recommends Lifestyle Changes to Increase Health and Longevity." Int. j. of Social Science and Economic Research 9, no. 6 (June 2024), 2009-2018. Accessed June, 2024. https://doi.org/10.46609/IJSSER.2024.v09i06.026.
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ABSTRACT: In previous papers, we have described My Youthspan, a software program that takes the latest scientific research in wellness and longevity and uses data science and machine learning to make personalized recommendations for people to live longer and be healthier. My Youthspan is targeted towards adults 40 and older, many of whom have legitimate concerns about the risk of contracting serious age-related diseases. Currently, we are developing a similar product for young adults, aged 18-40. While most young adults do not face serious diseases such as cancer or cardiovascular disease, the United States Centers for Disease Control reports that 54% of young adults have one or more chronic health conditions. While these chronic health conditions, such as obesity or high blood pressure, generally are not immediately life-threatening, they tend to be risk factors for more serious conditions later on such as stroke or heart disease. The goal of the present paper is to describe a methodology for quantifying these risk factors and then showing how they can be used in evaluating how lifestyle changes may reduce the risk in young adults of later contracting major age-related disease.

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