An efficient optimization based lung cancer pre-diagnosis system with aid of feed forward back propagation neural network (FFBNN)
- Title
- An efficient optimization based lung cancer pre-diagnosis system with aid of feed forward back propagation neural network (FFBNN)
- Creator
- Balachandran K.; Anitha R.
- Description
- World Health Organization (WHO) reports that worldwide 7.6 million deaths are caused by cancer each year. Uncontrollable cell development in the tissues of the lung is called as lung cancer. These uncontrollable cells restrict the growth of healthy lung tissues. If not treated, this growth can spread beyond the lung in the nearby tissue called metastasis and, form tumors. In order to preserve the life of the people who are suffered by the lung cancer disease, it should be pre-diagonized. So there is a need of pre diagnosis system for lung cancer disease which should provide better results. The proposed lung cancer prediagnosis technique is the combination of FFBNN and ABC. By using the Artificial Bee Colony (ABC) algorithm, the dimensionality of the dataset is reduced in order to reduce the computation complexity. Then the risk factors and the symptoms from the dimensional reduced dataset are given to the FFBNN to accomplish the training process. In order to get higher accuracy in the prediagnosis process, the FFBNN parameters are optimized using ABC algorithm. In the testing process, more data are given to well trained FFBNN-ABC to validate whether the given testing data predict the lung disease perfectly or not. 2005-2013 JATIT & LLS.All rights reserved.
- Source
- Journal of Theoretical and Applied Information Technology, Vol-56, No. 2, pp. 263-271.
- Date
- 2013-01-01
- Publisher
- Asian Research Publishing Network (ARPN)
- Subject
- Artificial bee colony (ABC) algorithm; Dimensionality reduction; Feed forward back propagation neural network (FFBNN); Risk factor and symptoms
- Coverage
- Balachandran K., Department of Computer Science and Engineering, Christ University, Bengaluru, India; Anitha R., Department of Master of Computer Applications, K. S. Rangasamy College of Technology, Tiruchengode, Tamilnadu, India
- Rights
- Restricted Access
- Relation
- ISSN: 19928645
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Balachandran K.; Anitha R., “An efficient optimization based lung cancer pre-diagnosis system with aid of feed forward back propagation neural network (FFBNN),” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/17372.