Andere Kunden interessierten sich auch für
![Novel Disease Prediction System Using Hybrid Deep Learning Techniques]( "Novel Disease Prediction System Using Hybrid Deep Learning Techniques")
Novel Disease Prediction System Using Hybrid Deep Learning Techniques51,99 €![Improved Classification Approach to Detect Diseases in Human Blood]( "Improved Classification Approach to Detect Diseases in Human Blood")
Improved Classification Approach to Detect Diseases in Human Blood32,99 €![Novel Ensemble based Approach for Predicting Internet Usage]( "Novel Ensemble based Approach for Predicting Internet Usage")
Novel Ensemble based Approach for Predicting Internet Usage26,99 €![Biocompatible materials selection via new supervised learning methods]( "Biocompatible materials selection via new supervised learning methods")
Biocompatible materials selection via new supervised learning methods36,99 €![Customer Churn Prediction Using Machine learning technique]( "Customer Churn Prediction Using Machine learning technique")
Customer Churn Prediction Using Machine learning technique53,99 €![A Novel Approach to Clustering Activities within Sensor Smart Homes]( "A Novel Approach to Clustering Activities within Sensor Smart Homes")
A Novel Approach to Clustering Activities within Sensor Smart Homes23,99 €![AI to the Rescue: How Machine Learning Can Help Manage Chronic Disease]( "AI to the Rescue: How Machine Learning Can Help Manage Chronic Disease")
AI to the Rescue: How Machine Learning Can Help Manage Chronic Disease28,85 €
In recent years, the advent of deep learning (DL) has revolutionized various fields, including healthcare. This paper provides a review and analysis of machine learning (ML) and DL-based techniques for the detection and diagnosis of cardiovascular disease (CVDs), which are among the leading causes of mortality globally. There is an immediate need for research into the factors that affect CVD. This requires innovative techniques to detect the disease early on and help bring the death rate down. In this paper, the analysis has been done based on research work executed by researchers in the CVDs identification along with the inferences drawn from the review done.