{"title":"基于不同属性的肺癌患者生存评估","authors":"T. Saraç","doi":"10.54856/jiswa.201812044","DOIUrl":null,"url":null,"abstract":"Nowadays, huge volumes of data are available thank to developing technology, variety of data and reduction in electronic storage cost of data. Various studies are carried out in order to transform data to meaningful information. In this paper, data set which belongs to lung cancer patients were transformed meaningful information. post-operative life expectancy within one year r operation has been estimated. It is observed that best result has been achieved by using KNN Algorithm (k=5 and Cross Validation=10).","PeriodicalId":112412,"journal":{"name":"Journal of Intelligent Systems with Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimation for Survival of Lung Cancer Patients Depending on Different Attributes\",\"authors\":\"T. Saraç\",\"doi\":\"10.54856/jiswa.201812044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, huge volumes of data are available thank to developing technology, variety of data and reduction in electronic storage cost of data. Various studies are carried out in order to transform data to meaningful information. In this paper, data set which belongs to lung cancer patients were transformed meaningful information. post-operative life expectancy within one year r operation has been estimated. It is observed that best result has been achieved by using KNN Algorithm (k=5 and Cross Validation=10).\",\"PeriodicalId\":112412,\"journal\":{\"name\":\"Journal of Intelligent Systems with Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Intelligent Systems with Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54856/jiswa.201812044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intelligent Systems with Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54856/jiswa.201812044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimation for Survival of Lung Cancer Patients Depending on Different Attributes
Nowadays, huge volumes of data are available thank to developing technology, variety of data and reduction in electronic storage cost of data. Various studies are carried out in order to transform data to meaningful information. In this paper, data set which belongs to lung cancer patients were transformed meaningful information. post-operative life expectancy within one year r operation has been estimated. It is observed that best result has been achieved by using KNN Algorithm (k=5 and Cross Validation=10).
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