An Innovative Method for Brain Stroke Prediction based on Parallel RELM Model
- Title
- An Innovative Method for Brain Stroke Prediction based on Parallel RELM Model
- Creator
- Kavitha K.; Devi V.J.; Alam M.S.; Sindhu V.; Gandhewar N.; Kalra G.
- Description
- Strokes occur when blood supply to the brain is suddenly cut off or severely impaired. Stroke victims may experience cell death as a result of oxygen and food shortages. The effectiveness of various predictive data mining algorithms in illness prediction has been the subject of numerous studies. The three stages that make up this suggested method are feature selection, model training, and preprocessing. Missing value management, numeric value conversion, imbalanced dataset handling, and data scaling are all components of data preparation. The chi-square and RFE methods are utilized in feature selection. The former assesses feature correlation, while the latter recursively seeks for ever-smaller feature sets to choose features. The whole time the model was being trained, a Parallel RELM was used. This new method outperforms both ELM and RELM, achieving an average accuracy of 95.84%. 2024 IEEE.
- Source
- 4th International Conference on Sustainable Expert Systems, ICSES 2024 - Proceedings, pp. 1637-1643.
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Brain Stroke Prediction; Extreme learning machine (ELM); Recursive Feature Elimination (RFE)
- Coverage
- Kavitha K., Gmr Institute of Technology, Department of CSE-AI&ML, Andhra Pradesh, Razam, India; Devi V.J., Aditya Institute of Technology and Management, Department of Information Technology, Andhra Pradesh, Tekkali, India; Alam M.S., College of Engineering and Computer Science, Jazan University, Department of Computer Science, Jizan, Saudi Arabia; Sindhu V., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Gandhewar N., Shri Ramdeobaba College of Engineering and Management, Department of Aiml, Nagpur, India; Kalra G., Maharishi Markandeshwar (Deemed to be University), Department of Mechanical Engineering, Mullana, Ambala, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-833154036-4
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kavitha K.; Devi V.J.; Alam M.S.; Sindhu V.; Gandhewar N.; Kalra G., “An Innovative Method for Brain Stroke Prediction based on Parallel RELM Model,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 27, 2025, https://archives.christuniversity.in/items/show/18991.