{"title":"基于机器学习的寿命计算器","authors":"Dr. John Leddo","doi":"10.46609/ijsser.2023.v08i07.031","DOIUrl":null,"url":null,"abstract":"Calculating people’s lifespan plays an integral role in industries such as health, insurance, and banking. On a personal level, people shown their life expectancies tend to adopt healthier lifestyles. The present paper describes a machine learning-based lifespan calculator that uses 16 personal parameters to calculate a person’s expected lifestyle. The machine learning model achieved an accuracy of 66%. Incorporating additional training of the model or adding additional parameters may improve the model’s accuracy.","PeriodicalId":500023,"journal":{"name":"International journal of social science and economic research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A MACHINE LEARNING-BASED LIFESPAN CALCULATOR\",\"authors\":\"Dr. John Leddo\",\"doi\":\"10.46609/ijsser.2023.v08i07.031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Calculating people’s lifespan plays an integral role in industries such as health, insurance, and banking. On a personal level, people shown their life expectancies tend to adopt healthier lifestyles. The present paper describes a machine learning-based lifespan calculator that uses 16 personal parameters to calculate a person’s expected lifestyle. The machine learning model achieved an accuracy of 66%. Incorporating additional training of the model or adding additional parameters may improve the model’s accuracy.\",\"PeriodicalId\":500023,\"journal\":{\"name\":\"International journal of social science and economic research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of social science and economic research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46609/ijsser.2023.v08i07.031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of social science and economic research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46609/ijsser.2023.v08i07.031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Calculating people’s lifespan plays an integral role in industries such as health, insurance, and banking. On a personal level, people shown their life expectancies tend to adopt healthier lifestyles. The present paper describes a machine learning-based lifespan calculator that uses 16 personal parameters to calculate a person’s expected lifestyle. The machine learning model achieved an accuracy of 66%. Incorporating additional training of the model or adding additional parameters may improve the model’s accuracy.
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