A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Morning Overview on MSN
These bizarre entities are neither alive nor dead and may soon save you
They are not quite alive, yet not convincingly dead, and they may soon be prescribed alongside, or even instead of, the pills in your medicine cabinet. These strange entities, from rod-shaped genetic ...
A team of industry leaders and the University of North Dakota are targeting the nation’s $966 billion chronic disease ...
Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven healthcare innovation, recognized for developing advanced diagnostic ...
23dOpinion
The Purged
Donald Trump’s destruction of the civil service is a tragedy not just for the roughly 300,000 workers who have been discarded ...
Multiple Disease Prediction System using Machine Learning. Predicts Parkinson's, Heart Disease, and Diabetes via a web interface powered by Logistic Regression, SVM, KNN, and Stacking Ensemble.
️ Predict heart disease using machine learning on the UCI dataset, delivering reliable metrics to enhance early diagnosis and decision-making.
Department of Cardiology, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China Aims: Cardiovascular disorders, particularly heart failure (HF), are a critical global ...
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 ...
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