乳腺癌预测的系统分析

G. Shanmugasundaram, S. Balaji, R. Saravanan, V. Malarselvam, S. Yazhini
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引用次数: 0

摘要

乳腺癌是一个主要的公共卫生问题,目前是妇女癌症死亡的第二大原因。每年有100多万妇女被诊断患有乳腺癌,其中一半以上的妇女由于疾病的诊断延误而死亡。肿瘤预测的准确性对提高治疗水平和患者的生存水平具有重要意义。从人体癌症的十大主要部位来看,在女性中,乳腺癌以32%的相对比例位居榜首。乳腺癌的筛查包括乳房自检和乳房x光检查。这项调查在医学诊断中的卓越意图是了解基于可接受水平的属性,以便更准确地预测。进一步的研究集中在现有的方法或机制,用于预测乳腺癌。本文总结了尚未解决的各种挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SYSTEMATIC ANALYSIS ON BREAST CANCER PREDICTION
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.
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