Diagnosis of Breast Cancer using Clustering Data Mining Approach

Autor:	Jigar Patel, Rinal Doshi, Jahanvi Joshi
Rok vydání:	2014
Předmět:	Breast cancer Computer science Brest cancer medicine Data mining Disease Information repository skin and connective tissue diseases Cluster analysis medicine.disease computer.software_genre computer Selection (genetic algorithm)
Zdroj:	International Journal of Computer Applications. 101:13-17
ISSN:	0975-8887
DOI:	10.5120/17722-7611
Popis:	The main objective of the research is to early diagnosis of the breast cancer patients. Nowadays Brest cancer becomes very major disease in many women not only in India but also in other country. For early diagnosis of the breast cancer patients, clustering data mining algorithm used to detect breast cancer. For the experimental purpose breast cancer dataset carried out form the UCI web data repository. The selection of appropriate clustering data mining technique is a challenge for the diagnosis of breast cancer. To get early result the challenges takes four clustering data mining techniques. This research becomes very helpful to doctor for diagnosis breast cancer and also helpful to patients for early treatment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c359083673dd1a558d5661a75003ba47 https://doi.org/10.5120/17722-7611 Zobrazit plný text záznamu