1. Cardiac Stroke Prediction Framework using Hybrid Optimization Algorithm under DNN.
- Author
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Al-Shammari, Naif K., Alzamil, Ahmed A., Albadarn, Mohammd, Ahmed, Syed Thouheed, Basha, Syed Muzamil, Alshammari, Ahmed Saud, and Gabr, Ahmed Maher
- Subjects
MATHEMATICAL optimization ,SEARCH algorithms ,BLOOD flow ,PROCESS optimization ,FORECASTING - Abstract
Heart weakness and restricted blood flow into the cavities can cause a range of strokes from mild to severe Heart strokes are primary caused due to the fat deposited on artery walls. The process reduces the intake of blood and internally causes a pseudo vacuum of air bubbles leading to a stroke which can be identified with high-end instrumentations. In this article, a detailed evaluation is processed with a Hybrid Optimization Algorithm (HOA). In the proposed technique, data are preprocessed using a label encoder and the missing values of the dataset are filled. Whale Optimization Algorithm (WOA) and Crow Search Algorithm(CSA) extract inter-connected patterns and learning features using a dedicated Deep Neural Networking (DNN) support. The proposed Hybrid Optimization Algorithm extracts features and the resultant values demonstrate a high accuracy range of 97.34%. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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