Optimized convolutional neural network using grasshopper optimization technique for enhanced heart disease prediction

Optimized convolutional neural network using grasshopper optimization technique for enhanced heart disease prediction

According to the World Health Organization (WHO), the heart disease (HD) is a preeminent worldwide cause of mortality. Early prediction and diagnosis of HDs becomes very crucial to save the human kind. This study presents a novel approach by integrating the machine learning (ML) technique, explicitl...

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Bibliographic Details
Main Authors: Sanjeeva Polepaka, R. P. Ram Kumar, Deepthi Palakurthy, Vanam Manasa, Akuthota Saritha, Saurav Dixit, Abhishek Chhetri, Myasar Mundher Adnan
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Cogent Engineering
Subjects:
Machine learning
CNN
optimized CNN
hyperparameters
grasshopper optimization
Artificial Intelligence
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2024.2423847
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https://www.tandfonline.com/doi/10.1080/23311916.2024.2423847

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