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Building evidence for diagnosis of lipedema: using a classification and regression tree (CART) algorithm to differentiate lipedema from lymphedema patientsdoi:10.23736/S0392-9590.25.05207-1FORNER-CORDERO, IsabelMUOZ-LANGA, JoséMORILLA-BELLIDO, Lola...
Logistic regression analysis was performed to identify the best diffusion indicator for classification and to develop a multiparameter model combining morphological features. Area under the receiver operating curve (AUC) and DeLong tests were used.#Significant differences in diffusion parameters were found ...
In our study, all benign FLLs were diagnosed using CEMRI and follow-up instead of pathological findings, since some previous studies indicated that CEMRI plays a dominant role and it is widely regarded as the most reliable imaging technique in the classification and characterization of FLLs,19 ...
Sixty-two texture parameters were extracted, including gray-level co-occurrence matrix and gray level run length. We used the algorithms logistic regression (LR), naive Bayes (NB), and stochastic gradient descent (SGD). Results The accuracy of the classification with NB, LR, and SGD was 83.3...
Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) present similar symptoms in the early stage, complicating their differentiation. This study aims to develop a classification model using radiomic features from MRI T2-weighted Dixon sequences to increase the accuracy of distinguishing...
To examine the longitudinal course of primary progressive aphasia (PPA) over a 2-year period and to offer quantitative ranges of expected change that could... E,Rogalski,D,... - 《Neurology》 被引量: 175发表: 2011年 Classification and pathology of primary progressive aphasia OBJECTIVE: We aim...
Serum samples were obtained from the biobank of the University of Toronto PsA Program (PsA) and University Health Network Arthritis Program (OA). All patients with PsA had psoriasis confirmed by a dermatologist and they satisfied the Classification for Psoriatic Arthritis criteria.4 Patients with OA...
Though based on only RGB the differentiation of objects from color provides a general clue but includes uncertainties; hence a more sophisticated classification and attribution method is needed. Our study proves the satisfactory test regarding KC to quantifying patterns for 16-bit grayscale or RGB ...
However, the various definitions of MHO and MUO are still controversial [3]. The current classifications lack standardization and may not be sufficient or accurate to identify the specific obese subgroup. There is thus a need to have a better biological marker that can make the classification of...