A literature review of machine learning algorithms for crash injury severity prediction
Introduction: Road traffic crashes represent a major public health concern, so it is of
significant importance to understand the factors associated with the increase of injury …
significant importance to understand the factors associated with the increase of injury …
Towards diagnostic aided systems in coronary artery disease detection: a comprehensive multiview survey of the state of the art
Introduction. Coronary artery disease (CAD) is one of the main causes of death all over the
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
world. One way to reduce the mortality rate from CAD is to predict its risk and take effective …
[HTML][HTML] Analyzing the impact of feature selection on the accuracy of heart disease prediction
Heart Disease has become one of the most serious diseases that has a significant impact on
human life. It has emerged as one of the leading causes of mortality among the people …
human life. It has emerged as one of the leading causes of mortality among the people …
Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
Diabetes is currently one of the most common, dangerous, and costly diseases globally
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
Risk assessment of coronary heart disease based on cloud-random forest
J Wang, C Rao, M Goh, X Xiao - Artificial Intelligence Review, 2023 - Springer
Coronary heart disease (CHD) is a major public health problem affecting a nation's
economic and social development. Risk assessing CHD in a timely manner helps to stop …
economic and social development. Risk assessing CHD in a timely manner helps to stop …
Event prediction in the big data era: A systematic survey
L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …
either our society or the nature, such as earthquakes, civil unrest, system failures …
Analysis and prediction of cardio vascular disease using machine learning classifiers
NK Kumar, GS Sindhu, DK Prashanthi… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Cardio Vascular Disease (CVD) is, for the most part, alluding to conditions that include
limited or blocked veins that can prompt a heart attack, chest torment (angina) or stroke. The …
limited or blocked veins that can prompt a heart attack, chest torment (angina) or stroke. The …
Machine learning approaches for predicting hypertension and its associated factors using population-level data from three South Asian countries
Background Hypertension is the most common modifiable risk factor for cardiovascular
diseases in South Asia. Machine learning (ML) models have been shown to outperform …
diseases in South Asia. Machine learning (ML) models have been shown to outperform …
[Retracted] Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning
A Al Ahdal, M Rakhra, RR Rajendran… - Journal of healthcare …, 2023 - Wiley Online Library
The World Health Organization reports that heart disease is the most common cause of
death globally, accounting for 17.9 million fatalities annually. The fundamentals of a cure, it …
death globally, accounting for 17.9 million fatalities annually. The fundamentals of a cure, it …
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 …