Πλοήγηση ανά Θέμα "feature selection"
Αποτελέσματα 1-5 από 5
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Heterogeneous data fusion and selection in high-volume molecular and imaging datasets
(2012)In this work, two disparate datasets, concerning the study of the same physiological type of cutaneous melanoma but derived from different donors, one of image (dermatoscopy) and the other of molecular (trascriptomic ... -
Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients
(2021)Objective: Feature selection (FS) is a crucial and at the same time challenging processing step that aims to reduce the dimensionality of complex classification or regression problems. Various techniques have been proposed ... -
Intelligent identification of biomarkers for the study of obstructive nephropathy
(2013)Obstructive Nephropathy (ON) is a renal disease, which pathological profile is the result of various, tightly coupled and co-regulated, molecular processes, pervading various layers of molecular dissection. In this context, ... -
Intelligent selection of human miRNAs and mouse mRNAs related to obstructive nephropathy
(2011)Obstructive Nephropathy (ON) is a renal disease and its pathology is believed to be magnified by various molecular processes. In the current study, we apply an intelligent workflow implemented in Rapidminer data mining ... -
Prediction of joint space narrowing progression in knee osteoarthritis patients
(2021)Osteoarthritis is a joint disease that commonly occurs in the knee (KOA). The continuous increase in medical data regarding KOA has triggered researchers to incorporate artificial intelligence analytics for KOA prognosis ...