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

One-class support vector machines for detecting population drift in deployed machine learning medical diagnostics

Machine learning (ML) models are increasingly being applied to diagnose and predict disease, but face technical challenges such as population drift, where the training and real-world deployed data ...
ascopubs.org

Three Immunomarker Support Vector Machines–Based Prognostic Classifiers for Stage IB Non–Small-Cell Lung Cancer

Phase I Study of Lapatinib in Combination With Chemoradiation in Patients With Locally Advanced Squamous Cell Carcinoma of the Head and Neck We used computer-generated random numbers to study 148 ...