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SYSTEMATIC ANALYSIS ON BREAST CANCER PREDICTION

机译:乳腺癌预测的系统分析

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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.
机译:乳腺癌是主要的公共卫生问题,目前是女性癌症死亡的第二大主要原因。每年,有超过一百万名妇女被诊断出患有乳腺癌,由于诊断疾病的延迟,导致一半以上的妇女死亡。癌症预测中的高准确性对于改善治疗方面和患者的生存能力标准很重要。乳腺癌是人体中癌症的十大主要部位,在女性中,乳腺癌以32%的相对比例位居榜首。乳腺癌的筛查是乳房自我检查和乳房X线摄影。此调查在医学诊断中的主要目的是根据接受程度理解属性,以便进行更准确的预测。进一步地,研究集中于用于预测乳腺癌的现有方法或机制。本文总结了尚未解决的各种挑战。

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