Nature

Support vector machine and deep-learning object detection for localisation of hard exudates

Hard exudates are one of the main clinical findings in the retinal images of patients with diabetic retinopathy. Detecting them early significantly impacts the treatment of underlying diseases; ...
ascopubs.org

Immunomarker combined with clinical features to support vector machines classifier for prediction of gastric cancer survival and adjuvant chemotherapeutic benefits.

Role of infiltrating CD8 lymphocytes, microsatellite instability and h. pylori level in gastric cancer. Response to immune checkpoint inhibitors in recurrent/metastatic esophageal squamous cell ...
Nature

Identifying misdiagnosed bipolar disorder using support vector machine: feature selection based on fMRI of follow-up confirmed affective disorders

Nearly a quarter of bipolar disorder (BD) patients were misdiagnosed as major depressive disorder (MDD) patients, which cannot be corrected until mania/hypomania develops. It is important to recognize ...
Pusula

Support Vector Machines (SVM) Explained: A Complete Guide with Python Examples

Machine learning models are only as valuable as the problems they solve. Among the most powerful classical algorithms available is the Support Vector Machine (SVM), a method known for its strong ...