Long-term coronary artery disease risk prediction with machine learning models
The heart is the most vital organ of the human body; thus, its improper functioning has a
significant impact on human life. Coronary artery disease (CAD) is a disease of the coronary …
significant impact on human life. Coronary artery disease (CAD) is a disease of the coronary …
Global estimates of 500 m daily aerodynamic roughness length from MODIS data
Aerodynamic roughness length (z 0 m) is a key parameter in the characterization of land
surface turbulent heat fluxes and widely used in many surface and climate-related process …
surface turbulent heat fluxes and widely used in many surface and climate-related process …
Hybrid model feature selection with the bee swarm optimization method and Q-learning on the diagnosis of coronary heart disease
Coronary heart disease is a type of cardiovascular disease characterized by atherosclerotic
plaque, which causes myocardial infarction or sudden cardiac death. Since this sudden …
plaque, which causes myocardial infarction or sudden cardiac death. Since this sudden …
[PDF][PDF] Effective predictive modelling for coronary artery diseases using support vector machine
Coronary artery disease (CAD) is a category of cardiovascular disease that causes the
highest mortality rate in the world. CAD occurs due to plaque build-up on the walls of the …
highest mortality rate in the world. CAD occurs due to plaque build-up on the walls of the …
[HTML][HTML] Argumentative comparative analysis of machine learning on coronary artery disease
Cardiovascular disease (CVD) is a leading cause of death across the globe. Approximately
17.9 million of people die globally each year due to CVD, which comprises 31% of all death …
17.9 million of people die globally each year due to CVD, which comprises 31% of all death …
Evaluating the Performance of Supervised Machine Learning Algorithms for Predicting Multiple Diseases: A Comparative Study
G Angayarkanni, S Hemalatha - 2023 9th International …, 2023 - ieeexplore.ieee.org
Machine learning has become one of the most popular and widely used techniques in
various industries, especially in the healthcare sector. This paper focuses on examining the …
various industries, especially in the healthcare sector. This paper focuses on examining the …
Optimalisasi kinerja klasifikasi melalui seleksi fitur dan adaboost dalam penanganan ketidakseimbangan kelas
Abstrak− Salah satu masalah dalam klasifikasi data mining adalah ketidakseimbangan
kelas, dimana jumlah instance pada kelas mayoritas lebih banyak dibanding kelas …
kelas, dimana jumlah instance pada kelas mayoritas lebih banyak dibanding kelas …
Heart Failure Prediction by Feature Ranking Analysis in Machine Learning
TP Pushpavathi, S Kumari… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Heart disease is one of the major cause of mortality in the world today. Prediction of
cardiovascular disease is a critical challenge in the field of clinical data analysis. With the …
cardiovascular disease is a critical challenge in the field of clinical data analysis. With the …
[PDF][PDF] An empirical study of machine learning regression models to predict health insurance cost
YA Christobel, S Subramanian - Webology, 2022 - webology.org
Medical expenses are a substantial ongoing expense in human existence. When insurance
members become ill or have an accident, health insurance firms guarantee that their health …
members become ill or have an accident, health insurance firms guarantee that their health …
Hybrid Model for Coronary Artery Disease Classification Based on Neural Networks and Evolutionary Algorithms.
MI Dwaikat, M Awad - Journal of Information Science & …, 2022 - search.ebscohost.com
The human body is a vital source of data such as images and signals. The signals are
collected from different human organs and utilized in diagnosing different diseases. The …
collected from different human organs and utilized in diagnosing different diseases. The …