{"title":"支持黑色素瘤诊断的数据挖掘方法","authors":"J. Grzymala-Busse, Z. Hippe","doi":"10.1109/CBMS.2005.46","DOIUrl":null,"url":null,"abstract":"Melanoma, a dangerous skin cancer, is usually diagnosed using the ABCD formula. The main objective of our research was to find a better formula resembling the original ABCD formula using four different discretization methods. All four corresponding modified ABCD formulas are significantly more accurate (with the level of significance 5%) than the original ABCD formula. Our additional objective was to calibrate the rule set induced from the original data set, describing melanoma, using the best discretization method, so that the sensitivity (the conditional probability for recognition of malignant and suspicious melanoma) was increased. This objective was accomplished using a technique of changing rule strengths.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Data mining methods supporting diagnosis of melanoma\",\"authors\":\"J. Grzymala-Busse, Z. Hippe\",\"doi\":\"10.1109/CBMS.2005.46\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Melanoma, a dangerous skin cancer, is usually diagnosed using the ABCD formula. The main objective of our research was to find a better formula resembling the original ABCD formula using four different discretization methods. All four corresponding modified ABCD formulas are significantly more accurate (with the level of significance 5%) than the original ABCD formula. Our additional objective was to calibrate the rule set induced from the original data set, describing melanoma, using the best discretization method, so that the sensitivity (the conditional probability for recognition of malignant and suspicious melanoma) was increased. This objective was accomplished using a technique of changing rule strengths.\",\"PeriodicalId\":119367,\"journal\":{\"name\":\"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CBMS.2005.46\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.2005.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data mining methods supporting diagnosis of melanoma
Melanoma, a dangerous skin cancer, is usually diagnosed using the ABCD formula. The main objective of our research was to find a better formula resembling the original ABCD formula using four different discretization methods. All four corresponding modified ABCD formulas are significantly more accurate (with the level of significance 5%) than the original ABCD formula. Our additional objective was to calibrate the rule set induced from the original data set, describing melanoma, using the best discretization method, so that the sensitivity (the conditional probability for recognition of malignant and suspicious melanoma) was increased. This objective was accomplished using a technique of changing rule strengths.