A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
A new risk prediction model shows good predictive value in identifying risk for neurogenic bladder (NB) after spinal cord injury (SCI) and guiding clinical interventions, according to a study ...
Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
TEM rolls out new AI tools across oncology, cardiology and mental health, accelerating its push to reshape MedTech innovation ...
The company’s chief executive, Elon Musk, said this week that it would stop making the car, an electric pioneer in 2012, as well as the Model X. By Neal E. Boudette Thirteen years ago, Mike Ramsey, an ...
In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
Abstract: In bioinformatics, the rapid development of sequencing technology has enabled us to collect an increasing amount of omics data. Classification based on omics data is one of the central ...
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