G. Shanmugasundaram, S. Balaji, R. Saravanan, V. Malarselvam, S. Yazhini
{"title":"乳腺癌预测的系统分析","authors":"G. Shanmugasundaram, S. Balaji, R. Saravanan, V. Malarselvam, S. Yazhini","doi":"10.1109/ICSCAN.2018.8541239","DOIUrl":null,"url":null,"abstract":"Breast cancer is a major public health contention and currently the second leading cause of cancer death in women. Every year more than a million women are diagnosed with breast cancer that results in the demise of more than half of them, due to the delay in diagnosis of the disease. High veracity in cancer prediction is important to revamp the treatment aspect and the survivability standard of patients. Cites from the top ten leading sites of cancer in the human body, in women, breast cancer tops the list with a relative proportion of 32%. Screening involved for breast cancer are Breast Self-Examination and Mammography. The preeminent intent of this survey in medical diagnostics is to comprehend the attributes based on the acceptance level for more accurate prediction. Further the study concentrates on existing approaches or mechanisms used in predicting breast cancer. This article concluded with the various challenges which are not yet addressed.","PeriodicalId":378798,"journal":{"name":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SYSTEMATIC ANALYSIS ON BREAST CANCER PREDICTION\",\"authors\":\"G. Shanmugasundaram, S. Balaji, R. Saravanan, V. Malarselvam, S. Yazhini\",\"doi\":\"10.1109/ICSCAN.2018.8541239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Breast cancer is a major public health contention and currently the second leading cause of cancer death in women. Every year more than a million women are diagnosed with breast cancer that results in the demise of more than half of them, due to the delay in diagnosis of the disease. High veracity in cancer prediction is important to revamp the treatment aspect and the survivability standard of patients. Cites from the top ten leading sites of cancer in the human body, in women, breast cancer tops the list with a relative proportion of 32%. Screening involved for breast cancer are Breast Self-Examination and Mammography. The preeminent intent of this survey in medical diagnostics is to comprehend the attributes based on the acceptance level for more accurate prediction. Further the study concentrates on existing approaches or mechanisms used in predicting breast cancer. This article concluded with the various challenges which are not yet addressed.\",\"PeriodicalId\":378798,\"journal\":{\"name\":\"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCAN.2018.8541239\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN.2018.8541239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Breast cancer is a major public health contention and currently the second leading cause of cancer death in women. Every year more than a million women are diagnosed with breast cancer that results in the demise of more than half of them, due to the delay in diagnosis of the disease. High veracity in cancer prediction is important to revamp the treatment aspect and the survivability standard of patients. Cites from the top ten leading sites of cancer in the human body, in women, breast cancer tops the list with a relative proportion of 32%. Screening involved for breast cancer are Breast Self-Examination and Mammography. The preeminent intent of this survey in medical diagnostics is to comprehend the attributes based on the acceptance level for more accurate prediction. Further the study concentrates on existing approaches or mechanisms used in predicting breast cancer. This article concluded with the various challenges which are not yet addressed.