Breast Tumor Prediction Using SVM with Rain Fall Optimisation Algorithm

Book chapter


Parashar, K., Ajay Kaushik, Sharma, R. and Aman 2024. Breast Tumor Prediction Using SVM with Rain Fall Optimisation Algorithm. in: So In, C., Londhe, N. D., Bhatt, N. and Kitsing, M. (ed.) Information Systems for Intelligent Systems: Proceedings of ISBM 2023 Singapore Springer. pp. 167-180
AuthorsParashar, K., Ajay Kaushik, Sharma, R. and Aman
EditorsSo In, C., Londhe, N. D., Bhatt, N. and Kitsing, M.
Abstract

Growth of breast cells in abnormal shape is termed as Breast Tumor (BT) over the past few years BT has become serious illness among women which has high death rates. According to the report, one in eight women worldwide will develop breast tumor at some point in their lives. There are other traditional methods which are time consuming as well as inefficient in diagnosing BT as well they are not effective in diagnosing BT at early stages which leads to detection of tumor when situation is worse and then there are chances that tumor have started spreading to other parts of the body; handling situation in worse condition is also critical for doctors so it is very important to diagnose the tumor at early stages. From the past few years, technology has changed to an extent that now computers are efficient in diagnosing the disease with help of Machine Learning (ML) algorithms. There are various models in ML like Decision Tree, KNN, Random Forest, and Linear Regression and many more but in comparison of accuracy of other models with SVM, SVM performs better. In this study, the author has proposed BT classification with use of Support Vector Machine (SVM) model which gives higher accuracy in comparison to other ML models. In order to improve the accuracy of SVM model the author have proposed the Rain Fall Optimisation Algorithm (RFOA), a meta-heuristic algorithm influenced by the natural world, tracks the motions as raindrops as they descend from the sky to the earth's surface which will improve BC classification accuracy by identifying the best SVM parameters. As per the experimental results, SVM with RFOA will improve the accuracy on Breast Cancer Wisconsin Original Data Set (BCWODS).

Keywordsbreast cancer; breast tumours; Machine Learning (ML) algorithms; diagnostic tools
Page range167-180
Year2024
Book titleInformation Systems for Intelligent Systems: Proceedings of ISBM 2023
PublisherSpringer
Place of publicationSingapore
SeriesSmart Innovation, Systems and Technologies
ISBN9789819986118
9789819986125
ISSN2190-3018
2190-3026
Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-99-8612-5_14
Web address (URL)http://dx.doi.org/10.1007/978-981-99-8612-5_14
Output statusPublished
Publication dates26 Feb 2024
Publication process dates
Deposited10 Jul 2024
Permalink -

https://repository.derby.ac.uk/item/q741y/breast-tumor-prediction-using-svm-with-rain-fall-optimisation-algorithm

  • 24
    total views
  • 0
    total downloads
  • 2
    views this month
  • 0
    downloads this month

Export as

Related outputs

A Sign Language Recognition System Using Artificial Intelligence
Dahiya, R., Dwivedi, N., Singh Rathore, A., Kalra, M., Chauhan, P., Ajay Kaushik and Sharma, R. 2024. A Sign Language Recognition System Using Artificial Intelligence. ISBM: World Conference on Information Systems for Business Management. Springer. https://doi.org/10.1007/978-981-99-8612-5_7
An Integrated Web Based and Application Programming Interfaces for Disease Prediction Through Self Diagnosis
Anil Tak, Sarthak Jain, B. N. V. Gnandeep, Mradul, Nikhil Kaushik, Yogendra, Ajay Kaushik, Ritu Sharma and Aman 2024. An Integrated Web Based and Application Programming Interfaces for Disease Prediction Through Self Diagnosis. World Conference on Information Systems for Business Management. Springer. https://doi.org/10.1007/978-981-99-8612-5_8
A novel intrusion detection system for internet of things devices and data
Kaushik, A. and Al-Raweshidy, H. 2023. A novel intrusion detection system for internet of things devices and data. Wireless Networks. 30, pp. 285-294. https://doi.org/10.1007/s11276-023-03435-0
A Hybrid Latency- and Power-Aware Approach for Beyond Fifth-Generation Internet-of-Things Edge Systems
Kaushik, A. and Al-Raweshidy, H. 2022. A Hybrid Latency- and Power-Aware Approach for Beyond Fifth-Generation Internet-of-Things Edge Systems. IEEE Access. 10, pp. 87974 - 87989. https://doi.org/10.1109/access.2022.3200035
Post Quantum Public and Private Key Cryptography Optimized for IoT Security
Ajay Kaushik, Lakshmi Sai Srikar Vadlamani, Mohammed Mohsin Hussain, Milind Sahay, Rahul Singh, Ananya Komal Singh, S. Indu, Puneet Goswami and Nalliyanna Goundar Veerappan Kousik 2022. Post Quantum Public and Private Key Cryptography Optimized for IoT Security. Wireless Personal Communications. 129, pp. 893-909. https://doi.org/10.1007/s11277-022-10162-w
A Real-Time Intrusion Detection System for Bio-Medical and Cyber-Physical Systems
Ajay Kaushik and Raj, S. V. 2022. A Real-Time Intrusion Detection System for Bio-Medical and Cyber-Physical Systems. The 5th International Conference on Research in Humanities. Diamond Scientific Publishing . https://doi.org/10.33422/5th.icrhconf.2022.08.200
Loki: A Lightweight LWE Method with Rogue Bits for Quantum Security in IoT Devices
Rahul Singh, Mohammed Mohsin Hussain, Milind Sahay, S. Indu, Ajay Kaushik and Alok Kumar Singh 2020. Loki: A Lightweight LWE Method with Rogue Bits for Quantum Security in IoT Devices. International Conference on Information and Communication Technology for Intelligent Systems. Springer. https://doi.org/10.1007/978-981-15-7062-9_54
A Binary PSO Approach for Improving the Performance of Wireless Sensor Networks
Ajay Kaushik, Goswami, M., Manuja, M., Sreedevi, I. and Gupta, D. 2020. A Binary PSO Approach for Improving the Performance of Wireless Sensor Networks. Wireless Personal Communications. 113, pp. 263-297. https://doi.org/10.1007/s11277-020-07188-3
A Grey Wolf Optimization Based Algorithm for Optimum Camera Placement
Kaushik, A., Indu, S. and Gupta, D. 2019. A Grey Wolf Optimization Based Algorithm for Optimum Camera Placement. Wireless Personal Communications. 105, pp. 1143-1167. https://doi.org/10.1007/s11277-019-06140-4
Adaptive Mobile Sink for Energy Efficient WSN Using Biogeography-Based Optimization
Ajay Kaushik, Indu, S. and Gupta, D. 2019. Adaptive Mobile Sink for Energy Efficient WSN Using Biogeography-Based Optimization. International Journal of Mobile Computing and Multimedia Communications. 10 (3), pp. 1-22. https://doi.org/10.4018/ijmcmc.2019070101
A Grey Wolf Optimization Approach for Improving the Performance of Wireless Sensor Networks
Kaushik, A., Indu, S. and Gupta, D. 2019. A Grey Wolf Optimization Approach for Improving the Performance of Wireless Sensor Networks. Wireless Personal Communications. 106, pp. 1429-1449. https://doi.org/10.1007/s11277-019-06223-2
A Self-Configurable Event Coverage Approach for Wireless Sensor Networks
Ajay Kaushik, Yakkali, R. T., Indu, S., Ahmed, F., Gupta, D., Nayar, R. and Yadav, S. 2019. A Self-Configurable Event Coverage Approach for Wireless Sensor Networks. International Journal of Mobile Computing and Multimedia Communications. 10 (2), pp. 1-18. https://doi.org/10.4018/ijmcmc.2019040101
Nature-Inspired Algorithms in Wireless Sensor Networks
Ajay Kaushik, Indu, S. and Gupta, D. 2019. Nature-Inspired Algorithms in Wireless Sensor Networks. in: Banati, H., Mehta, S. and Kaur, P. (ed.) Nature-Inspired Algorithms for Big Data Frameworks Hershey, Pennsylvania IGI Global. pp. 75-92
Optimizing and Enhancing the Lifetime of a Wireless Sensor Network Using Biogeography Based Optimization
Ajay Kaushik, Indu, S. and Gupta, D. 2018. Optimizing and Enhancing the Lifetime of a Wireless Sensor Network Using Biogeography Based Optimization. Applications of Computing and Communication Technologies First International Conference, ICACCT 2018. Springer. https://doi.org/10.1007/978-981-13-2035-4_23
A novel load balanced energy conservation approach in WSN using biogeography based optimization
Ajay Kaushik, Indu, S. and Gupta, D. 2017. A novel load balanced energy conservation approach in WSN using biogeography based optimization. THE 2ND INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND SMART MATERIALS: ICEESM 2017. AIP Publishing. https://doi.org/10.1063/1.5002507
Technology transfer: enablers and barriers - a review
Ajay Kaushik, Kumar, S., Luthra, S. and Haleem, A. 2014. Technology transfer: enablers and barriers - a review. International Journal of Technology, Policy and Management. 14 (2), pp. 133-159. https://doi.org/10.1504/ijtpm.2014.060152