Paper Title

EFFECTUAL ILLNESS ANALYSIS USING HURISTIC CLASSIFICATION METHODOLOGIES IN DATAMINING

Article Identifiers

Registration ID: IJNRD_181537

Published ID: IJNRD2205188

DOI: Click Here to Get

Authors

Dr.Vineetha K R , Muhsina K P

Keywords

Keywords:Data Minining,SEER,WEKA,Breast cancer survivability

Abstract

: 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.

How To Cite

"EFFECTUAL ILLNESS ANALYSIS USING HURISTIC CLASSIFICATION METHODOLOGIES IN DATAMINING", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 5, page no.1426-1430, May-2022, Available :https://ijnrd.org/papers/IJNRD2205188.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 1426-1430

Other Publication Details

Paper Reg. ID: IJNRD_181537

Published Paper Id: IJNRD2205188

Downloads: 000121128

Research Area: Science & Technology

Country: Palakkad, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2205188.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2205188

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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