Machine intelligence and medical cyber-physical system architectures for smart healthcare: Taxonomy, challenges, opportunities, and possible solutions
Hospitals use medical cyber-physical systems (MCPS) more often to give patients quality
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
continuous care. MCPS isa life-critical, context-aware, networked system of medical …
Predictive analysis of heart diseases with machine learning approaches
TR Ramesh, UK Lilhore, M Poongodi… - Malaysian Journal of …, 2022 - jpmm.um.edu.my
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 …
[PDF][PDF] A comprehensive review on heart disease prediction using data mining and machine learning techniques
Heart disease is one of the major causes of life complicacies and subsequently leading to
death. The heart disease diagnosis and treatment are very complex, especially in the …
death. The heart disease diagnosis and treatment are very complex, especially in the …
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 …
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 …
Multi-label active learning-based machine learning model for heart disease prediction
The rapid growth and adaptation of medical information to identify significant health trends
and help with timely preventive care have been recent hallmarks of the modern healthcare …
and help with timely preventive care have been recent hallmarks of the modern healthcare …
Efficient automated disease diagnosis using machine learning models
Recently, many researchers have designed various automated diagnosis models using
various supervised learning models. An early diagnosis of disease may control the death …
various supervised learning models. An early diagnosis of disease may control the death …
Prediction of heart disease and classifiers' sensitivity analysis
KM Almustafa - BMC bioinformatics, 2020 - Springer
Background Heart disease (HD) is one of the most common diseases nowadays, and an
early diagnosis of such a disease is a crucial task for many health care providers to prevent …
early diagnosis of such a disease is a crucial task for many health care providers to prevent …
A deep learning approach for intrusion detection in Internet of Things using focal loss function
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …
transportation, manufacturing, military, agriculture, and other industries. However, for the …
[Retracted] Clinical Data Analysis for Prediction of Cardiovascular Disease Using Machine Learning Techniques
Cardiovascular disease is difficult to detect due to several risk factors, including high blood
pressure, cholesterol, and an abnormal pulse rate. Accurate decision‐making and optimal …
pressure, cholesterol, and an abnormal pulse rate. Accurate decision‐making and optimal …