Cardiac Stroke Prediction Framework using Hybrid Optimization Algorithm under DNN
Received: 8 June 2021 | Revised: 22 June 2021 and 28 June 2021 | Accepted: 29 June 2021 | Online: 11 August 2021
Corresponding author: M. B. Syed
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%.
Keywords:
cardiac stroke prediction, cardiovascular disease, whale optimization algorithm, crow search algorithm, hybrid optimization algorithmDownloads
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Copyright (c) 2021 N. K. Al-Shammari, A. A. Alzamil, M. Albadarn, S. A. Ahmed, M. B. Syed, A. S. Alshammari, A. M. Gabr
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