INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
: Several combinations of database and machine learning approaches are used to extract hidden and unknown patterns from massive data sets. Data mining is essential for dealing with large amounts of data. Data mining is concerned with data heterogeneity ,and correctness. Furthermore, medical data mining is an extremely essential research subject, and substantial efforts have in this area in recent years since accuracy in medical data systems can lead to seriously deceptive medical treatments. Suitable mining methods should be used to examine medical data collections. Data mining techniques have been employed in constructing medical systems for disease prediction using a set of medical data sets to execute related tasks. In this an examination of the survivability rate prediction of breast cancer patients using data mining approaches is presented in this paper. SEER Public-Use Data was used as the source of information. The preprocessed data collection contains 151,886 records, each of which has all 16 fields from the SEER database. We looked into three data mining methods: Nave Bayes, back-propagated neural networks, and C4.5 decision tree algorithms. These algorithms have been used in a number of experiments. The achieved prediction results are comparable to those of other methods. However, we discovered that the C4.5 method performs far better than the other two strategies.
Keywords:
Keywords:Data Minining,SEER,WEKA,Breast cancer survivability
Cite Article:
"EFFECTUAL ILLNESS ANALYSIS USING HURISTIC CLASSIFICATION METHODOLOGIES IN DATAMINING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 5, page no.1426-1430, May-2022, Available :http://www.ijnrd.org/papers/IJNRD2205188.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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