An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms - Amaral, Jorge L.M.; Lopes, Agnaldo J.; Jansen, José M.; Faria, Alvaro C.D.; Melo, Pedro L. (Computer methods and programs in biomedicine, 2013)
Keywords: Accuracy; Algorithms; Applied sciences; Artificial Intelligence; Biological and medical sciences; Chronic obstructive pulmonary disease; Chronic obstructive pulmonary disease, asthma; Classifiers; Clinical decision support; Computer science; control theory; systems; Computerized, statistical medical data processing and models in biomedicine; Data processing. List processing. Character string processing; Early Diagnosis; Exact sciences and technology; Forced oscillation technique; Genetic algorithms; Humans; Internal Medicine; Learning and adaptive systems; Machine learning; Medical management aid. Diagnosis aid; Medical sciences; Memory organisation. Data processing; Neural networks; Other; Pneumology; Respiratory System - physiopathology; ROC Curve; Searching; Smoking; Smoking - physiopathology; Software; Support vector machines; Forced oscillation technique; Early diagnosis; Chronic obstructive pulmonary disease; Clinical decision support; Artificial intelligence; Smoking; Consumption; Nearest neighbour; Automatic classification; Decision support system; Cross validation; Neural network; Experimental study; Biomedical data processing; Tobacco; Volunteering; Genetic algorithm; Supervised learning; Vector support machine; Receiver operating characteristic curves; Diagnosis; Pharmacokinetics; Learning algorithm; Logistics