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 …
Futuristic biosensors for cardiac health care: an artificial intelligence approach
Biosensor-based devices are pioneering in the modern biomedical applications and will be
the future of cardiac health care. The coupling of artificial intelligence (AI) for cardiac …
the future of cardiac health care. The coupling of artificial intelligence (AI) for cardiac …
Coronary artery heart disease prediction: a comparative study of computational intelligence techniques
Diseases is an unusual circumstance that affects single or more parts of a human's body.
Because of lifestyle and patrimonial, different kinds of disease are increasing day by day …
Because of lifestyle and patrimonial, different kinds of disease are increasing day by day …
The efficacy of machine-learning-supported smart system for heart disease prediction
The disease may be an explicit status that negatively affects human health. Cardiopathy is
one of the common deadly diseases that is attributed to unhealthy human habits compared …
one of the common deadly diseases that is attributed to unhealthy human habits compared …
Machine learning-based statistical analysis for early stage detection of cervical cancer
Cervical cancer (CC) is the most common type of cancer in women and remains a significant
cause of mortality, particularly in less developed countries, although it can be effectively …
cause of mortality, particularly in less developed countries, although it can be effectively …
Recursion enhanced random forest with an improved linear model (RERF-ILM) for heart disease detection on the internet of medical things platform
C Guo, J Zhang, Y Liu, Y Xie, Z Han, J Yu - Ieee Access, 2020 - ieeexplore.ieee.org
Nowadays, Heart disease is one of the crucial impacts of mortality in the country. In clinical
data analysis, predicting cardiovascular disease is a primary challenge. Deep learning (DL) …
data analysis, predicting cardiovascular disease is a primary challenge. Deep learning (DL) …
Cognitive approach for heart disease prediction using machine learning
P Motarwar, A Duraphe, G Suganya… - … on emerging trends …, 2020 - ieeexplore.ieee.org
Prediction of patterns to prevent and control diseases is a challenging and a prominent
requirement in medical domain. In this paper, we propose a machine learning framework to …
requirement in medical domain. In this paper, we propose a machine learning framework to …
PCA-RF: an efficient Parkinson's disease prediction model based on random forest classification
In this modern era of overpopulation disease prediction is a crucial step in diagnosing
various diseases at an early stage. With the advancement of various machine learning …
various diseases at an early stage. With the advancement of various machine learning …
Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases
Background Despite technological advancement in the field of healthcare, the worldwide
burden of illness caused by cardio-vascular diseases (CVDs) is rising, owing mostly to a …
burden of illness caused by cardio-vascular diseases (CVDs) is rising, owing mostly to a …