A personalized committee classification approach to improving prediction of breast cancer metastasis

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A personalized committee classification approach to improving prediction of breast cancer metastasis

MOTIVATION Metastasis prediction is a well-known problem in breast cancer research. As breast cancer is a complex and heterogeneous disease with many molecular subtypes, predictive models trained for one cohort often perform poorly on other cohorts, and a combined model may be suboptimal for individual patients. Furthermore, attempting to develop subtype-specific models is hindered by the ambig...

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Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women. Diagnosing the breast cancer metastasis at the earliest stages helps to choose the best treatment and improve the quality of life for patients. Method: In the present fundamental r...

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Prediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients

Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women. Diagnosing the breast cancer metastasis at the earliest stages helps to choose the best treatment and improve the quality of life for patients. Method: In the present fundamental r...

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Metastasis from breast cancer to other parts of the body is very common, but the spread of the tumor to pituitary gland, especially to infandibulum, is a rare presentation. At the time of pituitary metastasis, a majority of the patients have clinical and radiological evidence of the disease. It seems that the posterior area of the gland is the most common site of metastasis, probably due to hig...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2014

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btu128