Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
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 …
Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
Heart disease prediction using machine learning techniques
Heart disease, alternatively known as cardiovascular disease, encases various conditions
that impact the heart and is the primary basis of death worldwide over the span of the past …
that impact the heart and is the primary basis of death worldwide over the span of the past …
Breast cancer prediction: a comparative study using machine learning techniques
Early detection of disease has become a crucial problem due to rapid population growth in
medical research in recent times. With the rapid population growth, the risk of death incurred …
medical research in recent times. With the rapid population growth, the risk of death incurred …
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 …
[HTML][HTML] A classification and regression tree algorithm for heart disease modeling and prediction
Heart disease remains the leading cause of death, such that nearly one-third of all deaths
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …
worldwide are estimated to be caused by heart-related conditions. Advancing applications of …
Prediction of heart disease using deep convolutional neural networks
Heart diseases are currently a major cause of death in the world. This problem is severe in
developing countries in Africa and Asia. A heart disease predicted at earlier stages not only …
developing countries in Africa and Asia. A heart disease predicted at earlier stages not only …
cACP-DeepGram: classification of anticancer peptides via deep neural network and skip-gram-based word embedding model
Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause
the irregular growth and division of human cells. Several traditional approaches such as …
the irregular growth and division of human cells. Several traditional approaches such as …