Deep learning-based Heart disease Risk prediction using Soft Max deep Scaling Gated Adverbial Neural Network
Year: 2025
Type: article
Abstract: Heart disease is one of the diseases that is responsible for the death of millions of people each year worldwide. It is considered one of the main diseases in middle-aged and elderly people. The increasing rate of heart disease cases, high mortality rate, and medical treatment expenses necessitate early diagnosis of symptoms. Prediction of cardio vascular disease is a critical challenge in the area of clinical data analysis Data science related Diagnosis and prediction of heart related diseases requires more precision, perfection and correctness. Deep Learning (DL) models are becoming increasingly popular for use in a wide range of clinical diagnostic tasks.
Source: Sylwan
DOI: 10.59879/cqyrs
Authors: K. Saravanakumar, Anand Viswanathan, K. Ravikumar, Mathivanan Durai, S. Devi, P. Shanmuga Priya
Institution: Sri Eshwar College of Engineering
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4409449194