Items related to Classification of breast cancer data using enhanced...
Synopsis
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.
"synopsis" may belong to another edition of this title.
Search results for Classification of breast cancer data using enhanced...
Seller Image
Classification of breast cancer data using enhanced supervised ML
Published by
LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 620279402X
ISBN 13: 9786202794022
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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
Seller Image
Classification of breast cancer data using enhanced supervised ML
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620279402X
ISBN 13: 9786202794022
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786202794022
Seller Image
Classification of breast cancer data using enhanced supervised ML
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620279402X
ISBN 13: 9786202794022
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Roychoudri Dr. S. M.Dr S M Roychoudri working as a Professor & Head in Department of Computer Science and Engineering at Usha Rama College of Engineering and Technology , AP. Dr K P N V Satyasree working as a Professor in Department . Seller Inventory # 493982752
Buy New
£ 29.98
£ 41.63 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Classification of breast cancer data using enhanced supervised ML
Published by
LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 620279402X
ISBN 13: 9786202794022
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9786202794022
Seller Image
Classification of breast cancer data using enhanced supervised ML
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620279402X
ISBN 13: 9786202794022
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Classification of breast cancer data using enhanced supervised ML | S. M. Roychoudri (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202794022 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 119219780