Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

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Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

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2016 nî lūn-bûn

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2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

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2016年论文

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2016年论文

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Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

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Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

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Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

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Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

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prefLabel

Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

@ast

Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

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P1476

Applying Data Mining Techniques to Improve Breast Cancer Diagnosis.

@en

P2093

Joana Diz

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P2860

Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012

Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement

Breast tissue composition and susceptibility to breast cancer

Positive predictive value of the Breast Imaging Reporting and Data System.

An evaluation of image descriptors combined with clinical data for breast cancer diagnosis.

The application of data mining techniques to oral cancer prognosis.

Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings.

Classification of risk micro-areas using data mining.

Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers.

Relationship between mammographic density and breast cancer death in the Breast Cancer Surveillance Consortium.

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s10916-016-0561-y

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203

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scholarly article

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10.1007/S10916-016-0561-Y

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P433

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P478

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Alberto Freitas

Goreti Marreiros

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2016-08-06T00:00:00Z

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27498205

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