Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis

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Diagnostic Accuracy of Different Machine Learning Algorithms for Breast Cancer Risk Calculation: a Meta-Analysis

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wetenschappelijk artikel

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наукова стаття, опублікована в липні 2018

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Diagnostic Accuracy of Differe ...... k Calculation: a Meta-Analysis

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Diagnostic Accuracy of Differe ...... k Calculation: a Meta-Analysis

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Diagnostic Accuracy of Differe ...... k Calculation: a Meta-Analysis

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Diagnostic Accuracy of Differe ...... k Calculation: a Meta-Analysis

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Diagnostic Accuracy of Differe ...... k Calculation: a Meta-Analysis

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Diagnostic Accuracy of Differe ...... k Calculation: a Meta-Analysis

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P1476

Diagnostic Accuracy of Differe ...... k Calculation: a Meta-Analysis

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P2093

Iwan Dwiprahasto

http://www.w3.org/2001/XMLSchema#string

Teguh Aryandono

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P2860

Global cancer statistics

The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration

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Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration.

Estrogen and the risk of breast cancer.

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Outcomes of Trastuzumab Therapy for 6 and 12 Months in Indonesian National Health Insurance System Clients with Operable HER2-Positive Breast Cancer

Support vector machines for diagnosis of breast tumors on US images.

Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study

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1747-1752

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scholarly article

review article

P356

10.22034/APJCP.2018.19.7.1747

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English

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P478

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P50

Lutfan Lazuardi

Ricvan Dana Nindrea

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2018-07-27T00:00:00Z

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30049182

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P921

breast cancer

diagnosis

machine learning

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6165638

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