Data-driven diagnosis of spinal abnormalities using feature selection and machine learning algorithms - Raihan-Al-Masud, Md; Mondal, M. Rubaiyat Hossain (PloS one, 2020)
Keywords: Abnormalities; Accuracy; Algorithms; Analysis; Back pain; Bagging; Biology and Life Sciences; Classification; Computer and Information Sciences; Data mining; Datasets; Datasets as Topic - statistics & numerical data; Diagnosis; Diagnosis, Computer-Assisted - methods; Diagnosis, Differential; Feature extraction; Humans; Image Interpretation, Computer-Assisted - methods; Information technology; Learning algorithms; Libraries; Logistic Models; Machine Learning; Medical diagnosis; Medicine and Health Sciences; Methods; Physical Sciences; Posture - physiology; Predictive Value of Tests; Principal components analysis; Recall; Regression analysis; Reproducibility of Results; Research and Analysis Methods; Spinal Diseases - diagnosis; Spinal Diseases - epidemiology; Spine - abnormalities; Spine - diagnostic imaging; Support Vector Machine; Support vector machines; Training; Taiwan; Bangladesh