About: Method Based on Data Mining Techniques for Breast Cancer Recurrence Analysis

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Method Based on Data Mining Techniques for Breast Cancer Recurrence Analysis
Creator	Clementina, Ospino-Mendoza Eugenia, Arrieta-Rodriguez Fabio, Mendoza-Palechor German, Lozano-Bernal Jose, Caicedo-Ortiz Margarita, Roca-Vides Marlon, Piñeres-Melo Paola, Ariza-Colpas Roberto, Morales-Ortega
Source	PMC
abstract	Cancer is a constantly evolving disease, which affects a large number of people worldwide. Great efforts have been made at the research level for the development of tools based on data mining techniques that allow to detect or prevent breast cancer. The large volumes of data play a fundamental role according to the literature consulted, a great variety of dataset oriented to the analysis of the disease has been generated, in this research the Breast Cancer dataset was used, the purpose of the proposed research is to submit comparison of the J48 and randomforest, NaiveBayes and NaiveBayes Simple, SMO Poli-kernel and SMO RBF-Kernel classification algorithms, integrated with the Simple K-Means cluster algorithm for the generation of a model that allows the successful classification of patients who are or Non-recurring breast cancer after having previously undergone surgery for the treatment of said disease, finally the methods that obtained the best levels were SMO Poly-Kernel + Simple K-Means 98.5% of Precision, 98.5% recall, 98.5% TPRATE and 0.2% FPRATE. The results obtained suggest the possibility of using intelligent computational tools based on data mining methods for the detection of breast cancer recurrence in patients who had previously undergone surgery.
has issue date	2020-06-22(xsd:dateTime)
bibo:doi	10.1007/978-3-030-53956-6_54
has license	no-cc
sha1sum (hex)	ab8129e27ada80b82608607f8c94b62a4f9e7b89
schema:url	https://doi.org/10.1007/978-3-030-53956-6_54
resource representing a document's title	Method Based on Data Mining Techniques for Breast Cancer Recurrence Analysis
has PubMed Central identifier	PMC7354816
schema:publication	Advances in Swarm Intelligence
resource representing a document's body	covid:ab8129e27ada80b82608607f8c94b62a4f9e7b89#body_text
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