[HTML][HTML] Feature selection and classification systems for chronic disease prediction: A review
D Jain, V Singh - Egyptian Informatics Journal, 2018 - Elsevier
Abstract Chronic Disease Prediction plays a pivotal role in healthcare informatics. It is crucial
to diagnose the disease at an early stage. This paper presents a survey on the utilization of …
to diagnose the disease at an early stage. This paper presents a survey on the utilization of …
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …
A decision support system for heart disease prediction based upon machine learning
Detection of heart disease through early-stage symptoms is a great challenge in the current
world scenario. If not diagnosed timely then this may become the cause of death. In …
world scenario. If not diagnosed timely then this may become the cause of death. In …
[HTML][HTML] Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques
CBC Latha, SC Jeeva - Informatics in Medicine Unlocked, 2019 - Elsevier
Abstract Machine learning involves artificial intelligence, and it is used in solving many
problems in data science. One common application of machine learning is the prediction of …
problems in data science. One common application of machine learning is the prediction of …
Artificial intelligence and internet of things based healthcare 4.0 monitoring system
A Kishor, C Chakraborty - Wireless personal communications, 2022 - Springer
Artificial Intelligence (AI) is widely implemented in healthcare 4.0 for producing early and
accurate results. The early predictions of disease help doctors to make early decisions to …
accurate results. The early predictions of disease help doctors to make early decisions to …
Identification of significant features and data mining techniques in predicting heart disease
Cardiovascular disease is one of the biggest cause for morbidity and mortality among the
population of the world. Prediction of cardiovascular disease is regarded as one of the most …
population of the world. Prediction of cardiovascular disease is regarded as one of the most …
HDPM: an effective heart disease prediction model for a clinical decision support system
Heart disease, one of the major causes of mortality worldwide, can be mitigated by early
heart disease diagnosis. A clinical decision support system (CDSS) can be used to …
heart disease diagnosis. A clinical decision support system (CDSS) can be used to …
A new machine learning technique for an accurate diagnosis of coronary artery disease
Background and objective Coronary artery disease (CAD) is one of the commonest diseases
around the world. An early and accurate diagnosis of CAD allows a timely administration of …
around the world. An early and accurate diagnosis of CAD allows a timely administration of …
An intelligent learning system based on random search algorithm and optimized random forest model for improved heart disease detection
Heart failure is considered one of the leading cause of death around the world. The
diagnosis of heart failure is a challenging task especially in under-developed and …
diagnosis of heart failure is a challenging task especially in under-developed and …
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
Z Arabasadi, R Alizadehsani, M Roshanzamir… - Computer methods and …, 2017 - Elsevier
Cardiovascular disease is one of the most rampant causes of death around the world and
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …
was deemed as a major illness in Middle and Old ages. Coronary artery disease, in …