Scientific Research Publishing

Comparative Analysis of ML Models for Survival Prediction of Glioblastoma ()

1 Department of Biochemistry, Chemistry, and Geology, Minnesota State University, Mankato, Mankato, MN, USA. 2 Department of Computer Information Science, Minnesota ...
ascopubs.org

Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non–Small Cell Lung Cancer

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...
Frontiers

Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression

Ischemic Stroke (IS) stands as a leading cause of mortality and disability globally, with an anticipated increase in IS-related fatalities by 2030. Despite therapeutic advancements, many patients ...
Frontiers

The Preprocessed Connectomes Project Quality Assessment Protocol - a resource for measuring the quality of MRI data.

Background: Although several measures have been proposed for assessing the quality of structural and fMRI data, there is no clear guidance on which of the measures are the best indicators of quality, ...
GitHub

christophe-cerin/Ecoindex-Revisited

In this project, we revisit the calculation method of the EcoIndex metric. This metric has been proposed to evaluate its absolute environmental performance from a given URL using a score between 0 and ...