Engineers have developed a new way to monitor how tiny lab-grown human heart tissues beat—by effectively "listening" to the ...
OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...
Environmental exposures increase risk for cardiometabolic disease, but improved predictive tools combining satellite imaging, ...
UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...
Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at ...
A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method
Abstract: The correct diagnosis of heart disease can save lives, while the incorrect diagnosis can be lethal. The UCI machine learning heart disease dataset compares the results and analyses of ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
SD, standard deviation; IQR, inter-quartile range; ICU, intensive care unit; MCH, mean corpuscular hemoglobin; MCHC, mean corpuscular hemoglobin concentration; MCV ...
Over the years, the number of people who succumbed to heart ailments has increased significantly worldwide. The World Health Organization claims that about 17 million people die each year due to heart ...
1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and ...
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