Automatic classification and prediction models for early Parkinson’s disease diagnosis from SPECT imaging - Prashanth, R.; Dutta Roy, Sumantra; Mandal, Pravat K.; Ghosh, Shantanu (Expert systems with applications, 2014)
Keywords: Applied sciences; Biological and medical sciences; Classification; Computer science; control theory; systems; Computer-aided early diagnosis; Data processing. List processing. Character string processing; Diagnosis; Exact sciences and technology; Imaging; Investigative techniques, diagnostic techniques (general aspects); Linear inference, regression; Logistic regression; Logistics; Mathematical models; Mathematics; Medical sciences; Memory organisation. Data processing; Nervous system; Parkinson’s disease; Pattern analysis; Probability and statistics; Radiodiagnosis. Nmr imagery. Nmr spectrometry; Radionuclide investigations; Risk; Risk prediction; Sciences and techniques of general use; Software; Statistics; Support vector machine; Support vector machines; Tomography; Logistic regression; SBR; PD; PPMI; Computer-aided early diagnosis; Risk prediction; SVM; Support vector machine; Pattern analysis; SPECT; Parkinson’s disease; Therapy; Automatic classification; Parkinson's disease; Parkinson disease; Modeling; Encephalon; Imaging; Database; Vector support machine; Diagnosis; Data analysis; Nervous system diseases; Statistical analysis; Probabilistic approach; Decision support system; Regression analysis; Marker; Single photon emission tomography; Forecasting; Single photon emission computed tomography; Computerized tomography; Kernel method; Radial basis function; Regression model; Medical imagery; Risk management