Deep learning-based Heart disease Risk prediction using Soft Max deep Scaling Gated Adverbial Neural Network

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.

Authors

Publication Details

Journal
Sylwan
Published
2025-01-01
DOI
https://doi.org/10.59879/cqyrs
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
2.94
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Deep learning-based Heart disease Risk prediction using Soft Max deep Scaling Gated Adverbial Neural Network

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Sylwan
Artificial Intelligence in Healthcare
2.94
article

Deep learning-based Heart disease Risk prediction using Soft Max deep Scaling Gated Adverbial Neural Network

K. Saravanakumar, K. Ravikumar, P. Shanmuga Priya, M.A. Saleem Durai, S. Kiruthika Devi, Anand Viswanathan
article en
1 citations

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.

Sylwan
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare
2.94
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