Lung Cancer Early Diagnosis Using Some Data Mining Classification Techniques: A Survey

Authors

  • P Thangaraju Asst. Professor, Department of Computer Applications, Bishop Heber College (Autonomous), Trichirappalli-620 017
  • G Barkavi M.Phil, Scholar Department of Computer Applications, Bishop Heber College (Autonomous), Trichirappalli-620 017

Keywords:

Data mining, lung cancer, early diagnosis, classification, neural networks

Abstract

Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. Data mining is primarily used to this requirement thus finding its applications in diverse fields such as retail, financial, communication, marketing organizations and medicine. Data Mining plays an important role in healthcare organization because with the growth of population and dangerous deadly diseases like Cancer, SARS, Leprosy, HIV etc, Lung cancer is one of the most dangerous disease. This survey for appropriate medical image mining, Data Preprocessing, Feature Extraction, rule generation and classification, it provides basic framework for further improvement in medical diagnosis.

References

Zakaria Suliman Zubi and Rema Asheibani Saad, “Using Some Data Mining Techniques for Early Diagnosis of Lung Cancer,” Recent Researches in Artificial Intelligence, Knowledge Engineering and Data Bases, Libya, 2007.

V.Krishnaiah, Dr.G.Narsimha and Dr. N.Subhash Chandra,” Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques,” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 4 (1) , 2013, pp. 39 – 45.

Juliet R Rajan and Jefrin J Prakash, “Early Diagnosis of Lung Cancer using a Mining Tool,” National Conference on Architecture, Software systems and Green computing-2013(NCASG2013).

Divya Tomar and Sonali Agarwal, “A survey on Data Mining approaches for Healthcare,”International Journal of Bio-Science and BioTechnology Vol.5, No.5 (2013), pp. 241-266

Jaba Sheela L and Dr.V.Shanthi “An Approach for Discretization and Feature Selection Of Continuous-Valued Attributes in Medical Images for Classification Learning,”International Journal of Computer Theory and Engineering, Vol. 1,No.2, June2009 1793-8201, pp. 154.

R Chaves, J M G´orriz, J Ram´ırez, I A Ill´an, D Salas-Gonzalez and M G´omez-R´ıo “Efficient mining of association rules for the early diagnosis of Alzheimer’s disease,”Institute of Physics and Engineering in Medicine 2011.

Zakaria Suliman Zubi, Rema Asheibani Saad, “Improves Treatment Programs of Lung Cancer Using Data Mining Techniques,”Journal of Software Engineering and Applications, 2014, 7, pp. 69-77.

Ada and Rajneet Kaur, “ A Study of Detection of Lung Cancer Using Data Mining Classification Techniques,” International Journal of Advanced Research in Computer Science and Software Engineering march 2013.

Ada and Rajneet Kaur, “Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier.” International Journal of Application or Innovation in Engineering & Management June 2013.

Lakhmi Jain and Philippe De Wilde,”Practical Applications of Computational Intelligence Techniques” ISBN 0-7923-7320-0, pp. 300.

Turban "Decision Support And Business Intelligence Systems, 8/E," Pearson Education India, 01-Sep-2008 ISBN 978-81-317-2425-5, pp. 373.

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Published

2024-02-26

How to Cite

P, T., & G, B. (2024). Lung Cancer Early Diagnosis Using Some Data Mining Classification Techniques: A Survey. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(06), 908–911. Retrieved from https://ijact.in/index.php/j/article/view/160

Issue

Section

Review Article

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