FOCUS Model Achieves 0.902 Accuracy Classifying Glioma IDH Mutation Status
A computational framework named FOCUS paired with a support vector machine classified glioma IDH mutation status with 0.902 accuracy in ...
A computational framework named FOCUS paired with a support vector machine classified glioma IDH mutation status with 0.902 accuracy in ...
A systematic scoping review of nineteen studies found that machine learning prediction models for cancer malnutrition risk demonstrate strong discrimination ...
In a multicenter observational case-control study, a serum microRNA ensemble model achieved an area under the curve of 0.875 for ...
Researchers demonstrated that machine-learning classifiers analyzing radiomic features from noncontrast postmortem computed tomography can reliably detect autopsy-confirmed myocardial infarction.
A neural network model showed promising discrimination for predicting in-hospital mortality after surgery in male patients with acute type A ...
A study of 77 developed and developing nations finds that digital transformation is associated with a reduced ecological footprint, with ...
A long-term analysis of AERONET observations from 2012 to 2024 reveals declining urban pollution and shifting atmospheric aerosol optical regimes ...
A retrospective study of 3,160 open pulmonary lobectomy patients found that a support vector machine model achieved the highest discrimination ...
Researchers have developed a diagnostic framework combining persistent homology and machine learning that detects COVID-19 in chest computed tomography scans ...
An automated framework combining acoustic and linguistic speech features achieved high accuracy in detecting Parkinson's disease and characterizing associated mild ...
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© 2026 Scienmag - Science Magazine