Smartphone apps, fitness trackers and wearable devices help people with heart disease get more physical activity in their ...
A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
Researchers at UCSF developed a new way to build clinical prediction tools that combines the speed of artificial intelligence ...
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, ...
A machine learning-powered REST API for predicting the presence of heart disease based on patient clinical data. Built using FastAPI and Dockerized for easy deployment. The final model uses a tuned ...
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