Hereditary immunity in cancer

Alireza Heidari, Katrin E. Schmitt, M. Henderson, E. Besana
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引用次数: 12

Abstract

Cancer is one of the malignant diseases and millions of people worldwide die from cancer annually. Breast cancer diagnosis requires the analysis of images and attributes as well as collecting many clinical and mammography variables. In diagnosis of breast cancer, it is im-portant to determine whether a tumor is benign or malignant. The information about breast cancer risk prediction along with the type of tu-mor are crucial for patients and effective medical decision making. An ideal diagnostic system could effectively distinguish between benign and malignant cells; however, such a system has not been created yet. In this study, a model is developed to improve the prediction probabil-ity of breast cancer. It is necessary to have such a prediction model as the survival probability of breast cancer is high when patients are diagnosed at early stages.  
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癌症的遗传免疫
癌症是恶性疾病之一,全世界每年有数百万人死于癌症。乳腺癌诊断需要分析图像和属性,以及收集许多临床和乳房x光检查变量。在乳腺癌的诊断中,确定肿瘤是良性还是恶性是很重要的。有关乳腺癌风险预测和肿瘤类型的信息对患者和有效的医疗决策至关重要。理想的诊断系统能有效区分良、恶性细胞;但是,目前还没有建立这样一个系统。在本研究中,建立了一个模型来提高乳腺癌的预测概率。由于乳腺癌患者在早期诊断时生存率较高,因此有必要建立这样的预测模型。
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