Classification of breast cancer data using enhanced supervised ML

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2020, 2020

620279402X / 9786202794022

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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This item is printed on demand - it takes 3-4 days longer - Neuware -Last few years, one of the hot topic in health care informatics is breast cancer, because it is the second main cause of cancer-related deaths in women. Breast cancer can be identified using a biopsy where tissue is removed and studied under microscope. The diagnosis is based on the qualification of the histopathologic, who will look for abnormal cells. However, if the histopathologic is not well-trained, this may lead to wrong diagnosis. With the recent advances in analysis of medical related data and machine learning, there is an interest in attempting to develop a reliable pattern recognition based systems to improve the quality of diagnosis. In this paper we focus on classification of breast cancer as binary labelled data because is it a Benin or maligned. Thus, the goal is to classify whether the breast cancer is benign or malignant and predict the recurrence and non-recurrence of malignant cases after a certain period. To achieve this we have used machine learning classification methods to fit a function that can predict the discrete class of new input. 76 pp. Englisch.…

Seller Inventory # 9786202794022

Title
Classification of breast cancer data using enhanced supervised ML
Author
S. M. Roychoudri
Publisher
LAP LAMBERT Academic Publishing Sep 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620279402X
ISBN 13
9786202794022
Item weight
131 grams
Dimensions
220x150x5 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany