Predictive analysis of heart diseases with machine learning approaches
Abstract Machine Learning (ML) is used in healthcare sectors worldwide. ML methods help
in the protection of heart diseases, locomotor disorders in the medical data set. The …
in the protection of heart diseases, locomotor disorders in the medical data set. The …
Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks
Abstract The World Health Organization (WHO) estimated one third of all global deaths
reason as cardiovascular diseases in 2015. Some computational techniques were proposed …
reason as cardiovascular diseases in 2015. Some computational techniques were proposed …
Effective heart disease prediction using novel MLP-EBMDA approach
D Deepika, N Balaji - Biomedical Signal Processing and Control, 2022 - Elsevier
Heart disease prediction is more important to prevent the death rate. The death rate
increases due to lack of initial detection of heart disease in humans. To predict heart disease …
increases due to lack of initial detection of heart disease in humans. To predict heart disease …
A new complex fuzzy inference system with fuzzy knowledge graph and extensions in decision making
Context and Background: Complex fuzzy theory has a strong practical implication in many
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …
real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to …
Use of machine learning techniques in healthcare: A brief review of cardiovascular disease classification
S Panicker - 2nd International Conference on Communication & …, 2020 - papers.ssrn.com
One of the major leading cause of fatalities globally, cardiovascular diseases are a growing
social concern worldwide. With the advent of technology, medical domain has benefited …
social concern worldwide. With the advent of technology, medical domain has benefited …
M-CFIS-R: Mamdani complex fuzzy inference system with rule reduction using complex fuzzy measures in granular computing
Complex fuzzy theory has strong practical background in many important applications,
especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy …
especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy …
An Overview of Explainable AI Methods, Forms and Frameworks
Artificial Intelligence (AI) has become an integral part of many applications in recent years.
AI has reached the masses with the availability of intelligent software to automate systems …
AI has reached the masses with the availability of intelligent software to automate systems …
Predicting heart attack through explainable artificial intelligence
M Aghamohammadi, M Madan, JK Hong… - … Science–ICCS 2019 …, 2019 - Springer
A novel classification technique based on combined Genetic Algorithm (GA) and Adaptive
Neural Fuzzy Inference System (ANFIS) for diagnosis of heart Attack is reported. Exploiting …
Neural Fuzzy Inference System (ANFIS) for diagnosis of heart Attack is reported. Exploiting …
Efficient heart disease prediction‐based on optimal feature selection using DFCSS and classification by improved Elman‐SFO
J Wankhede, M Kumar, P Sambandam - IET systems biology, 2020 - Wiley Online Library
Prediction of cardiovascular disease (CVD) is a critical challenge in the area of clinical data
analysis. In this study, an efficient heart disease prediction is developed based on optimal …
analysis. In this study, an efficient heart disease prediction is developed based on optimal …
Artificial neural network parameter tuning framework for heart disease classification
Heart Disease are among the leading cause of death worldwide. The application of artificial
neural network as decision support tool for heart disease detection. However, artificial …
neural network as decision support tool for heart disease detection. However, artificial …