Litcius/Paper detail

Comparison of Feature Selection Methods and Machine Learning Classifiers for Predicting Chronic Obstructive Pulmonary Disease Using Texture-Based CT Lung Radiomic Features

Kalysta Makimoto, Ryan Au, Amir Moslemi, James C. Hogg, Jean Bourbeau, Wan C. Tan, Miranda Kirby

2022Academic Radiology33 citationsDOI

Topics & Concepts

COPDFeature selectionMedicineReceiver operating characteristicArtificial intelligenceSupport vector machineObstructive lung diseaseFeature (linguistics)Pattern recognition (psychology)RadiologyComputer scienceInternal medicineLinguisticsPhilosophyRadiomics and Machine Learning in Medical ImagingChronic Obstructive Pulmonary Disease (COPD) ResearchLung Cancer Diagnosis and Treatment
Comparison of Feature Selection Methods and Machine Learning Classifiers for Predicting Chronic Obstructive Pulmonary Disease Using Texture-Based CT Lung Radiomic Features | Litcius