[PDF][PDF] An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms.
Cardiovascular disease is among the top five fatal diseases that affect lives worldwide.
Therefore, its early prediction and detection are crucial, allowing one to take proper and …
Therefore, its early prediction and detection are crucial, allowing one to take proper and …
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework
Worldwide, cardiovascular disease is the leading cause of death. Based on clinical data, a
Machine Learning (ML) system can detect cardiac disease in its early stages, which enables …
Machine Learning (ML) system can detect cardiac disease in its early stages, which enables …
Healthcare Big Data Analysis with Artificial Neural Network for Cardiac Disease Prediction
S Mohapatra, PK Sahoo, SK Mohapatra - Electronics, 2023 - mdpi.com
The generation of a huge volume of structured, semi-structured and unstructured real-time
health monitoring data and its storage in the form of electronic health records (EHRs) need …
health monitoring data and its storage in the form of electronic health records (EHRs) need …
[HTML][HTML] Can machine learning approaches predict green purchase intention?-A study from Indian consumer perspective
This paper explores consumer green consumption practices and considers a set of factors,
including cognitive and behavioural level constructs, that influence green consumption. The …
including cognitive and behavioural level constructs, that influence green consumption. The …
A State of Art of Cardiovascular Diseases Using Machine Learning Algorithms
H Benzakour, C Chekira, H El Fadili… - 2023 7th IEEE …, 2023 - ieeexplore.ieee.org
One of the primary causes of death on the globe is heart disease. It can be accurately and
early predicted, which can help to avoid negative effects. The prediction of cardiac disease …
early predicted, which can help to avoid negative effects. The prediction of cardiac disease …
Deep Learning and Data Mining Techniques For Cardiovascular Disease Prediction: A Survey
S Pandey, R Kaur, B Sharma - 2023 6th International …, 2023 - ieeexplore.ieee.org
According to the American Heart Association, cardiovascular diseases (CVDs) will be the
leading cause of death globally in 2022, claiming the lives of an estimated 19.1 million …
leading cause of death globally in 2022, claiming the lives of an estimated 19.1 million …
Diagnosing vascular aging based on macro and micronutrients using ensemble machine learning
C Patino-Alonso, M Gómez-Sánchez… - Mathematics, 2023 - mdpi.com
The influence of dietary components on vascular dysfunction and aging is unclear. This
study therefore aims to propose a model to predict the influence of macro and micronutrients …
study therefore aims to propose a model to predict the influence of macro and micronutrients …
A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification
Predicting cardiac or heart disease has emerged as a formidable challenge in the medical
domain recently. It is recognized as a major global health concern, and stands as one of the …
domain recently. It is recognized as a major global health concern, and stands as one of the …
A hybrid approach for medical images classification and segmentation to reduce complexity
The computational domain facilitates the performance of novel and innovative medical
research and development tasks by providing support and computational power. This …
research and development tasks by providing support and computational power. This …
Enhancement of ANN performance for remote sensing rainfall estimate in northern Algeria using ensemble learning methods
In machine learning, ensemble learning methods (ELM) consist of combining several
machine learning algorithms to obtain better quality predictions compared to a single model …
machine learning algorithms to obtain better quality predictions compared to a single model …