IRO Journals

Journal of Artificial Intelligence and Capsule Networks

Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3

Blockchain-Enabled Federated Learning on Kubernetes for Air Quality Prediction Applications
Volume-3 | Issue-3

Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4

Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3

Hybrid Parallel Image Processing Algorithm for Binary Images with Image Thinning Technique
Volume-3 | Issue-3

Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare
Volume-3 | Issue-4

QoS-aware Virtual Machine (VM) for Optimal Resource Utilization and Energy Conservation
Volume-3 | Issue-3

Probabilistic Neural Network based Managing Algorithm for Building Automation System
Volume-3 | Issue-4

Fusion based Feature Extraction Analysis of ECG Signal Interpretation - A Systematic Approach
Volume-3 | Issue-1

Artificial Bee Colony Optimization Algorithm for Enhancing Routing in Wireless Networks
Volume-3 | Issue-1

Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4

Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3

Real Time Anomaly Detection Techniques Using PySpark Frame Work
Volume-2 | Issue-1

Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3

Audio Tagging Using CNN Based Audio Neural Networks for Massive Data Processing
Volume-3 | Issue-4

Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare
Volume-3 | Issue-4

Frontiers of AI beyond 2030: Novel Perspectives
Volume-4 | Issue-4

Early Stage Detection of Crack in Glasses by Hybrid CNN Transformation Approach
Volume-3 | Issue-4

Artificial Intelligence Algorithm with SVM Classification using Dermascopic Images for Melanoma Diagnosis
Volume-3 | Issue-1

An Efficient Machine Learning based Model for Classification of Wearable Clothing
Volume-3 | Issue-4

Home / Archives / Volume-4 / Issue-2 / Article-4

Volume - 4 | Issue - 2 | june 2022

Deep learning models on Heart Disease Estimation - A review
T. M. Angelin Monisha Sharean  , G. Johncy  165  74
Pages: 122-130
Cite this article
Sharean, T. M. A. M. & Johncy, G. (2022). Deep learning models on Heart Disease Estimation - A review. Journal of Artificial Intelligence and Capsule Networks, 4(2), 122-130. doi:10.36548/jaicn.2022.2.004
Published
18 July, 2022
Abstract

Heart disease, also known as cardiovascular disease (CVD), is the foremost among all widespread diseases in the people community. Any disorder that affects the heart's function is typically called heart disease. Narrowing or blockage of the coronary arteries, which supply blood to the heart, is the most common cause of heart failure. Coronary Artery Disease (CAD) is a common form of heart disease and the leading cause of heart attacks. Nowadays, there is no age limit for people to get affected by this disease. There are so many diagnosis methods available where most are costly, the risk involved, and technical experts are needed to perform the disease diagnosis. Clinical research has pointed out different factors that increase the risk of CAD and heart attack. These factors can be categorized into two types, i.e., risk factors that cannot be changed and those that can be changed. Sex, age and family history are those factors that cannot be altered. In contrast, factors related to a subject's lifestyle, e.g., smoking, high cholesterol, high blood pressure and physical inactivity, can be changed. This paper reviews various deep learning techniques involving heart disease prognostic and their accuracy in predicting that they can be treated in advance to prevent fatalities.

Keywords

Deep learning convolution neural network heart disease prediction

Full Article PDF Download Article PDF 
×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

Subscription Payment Details

townscript (INR / USD): click here

Subscription Fee

Annual Subscription 15,000 INR / 200 USD
Subscription form: click here