Results 81 to 90 of about 2,344,066 (336)

ROC curves for regression [PDF]

open access: yesPattern Recognition, 2013
I would like to thank Peter Flach and Nicolas Lachiche for some very useful comments and corrections on earlier versions of this paper, especially the suggestion of drawing normalised curves (dividing x-axis and y-axis by n). This work was supported by the MEC/MINECO projects CONSOLIDER-INGENIO CSD2007-00022 and TIN 2010-21062-C02-02, GVA project ...
openaire   +4 more sources

Olink Proteomics Analysis Reveals Heterogeneous Responses to FcRn Blockade in Anti‐AChR Antibody‐Positive Myasthenia Gravis: FGF‐19 as a Novel Biomarker

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to systematically observe the clinical manifestations, immune cell subsets, and dynamic changes in serological indicators in patients with myasthenia gravis (MG) before and after efgartigimod (EFG) treatment. Methods We analyzed the baseline data, laboratory parameters, and lymphocyte subset proportions in MG ...
Tiancheng Luo   +9 more
wiley   +1 more source

ROC curve analyses of eyewitness identification decisions: An analysis of the recent debate

open access: yesCognitive Research, 2016
How should the accuracy of eyewitness identification decisions be measured, so that best practices for identification can be determined? This fundamental question is under intense debate.
C. Rotello, Tina Chen
semanticscholar   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Cumulative/dynamic ROC curve estimation

open access: yes, 2016
Receiver operating-characteristic (ROC) curve is a popular graphical method frequently used in order to study the diagnostic capacity of continuous (bio)markers. When the considered outcome is a time-dependent variable, the direct generalization is known
P. Martínez-Camblor   +2 more
semanticscholar   +1 more source

Predicting Loss of Ambulation in Limb Girdle Muscular Dystrophy R9

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Limb girdle muscular dystrophy type R9 (LGMDR9) results from biallelic variants in FKRP. There is limited data to predict loss of ambulation (LOA) among those with LGMDR9. Methods Participants in an ongoing dystroglycanopathy natural history study (NCT00313677) with FKRP variants who had achieved ambulation and were more than 3 ...
Chandra L. Miller   +6 more
wiley   +1 more source

About Classifiers Quality Assessment: Balanced Accuracy Curve (BAC) as an alternative for ROC and PR Curve [PDF]

open access: yesAnnals of computer science and information systems, 2022
Aleksandra Weiss   +2 more
doaj   +1 more source

Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz   +11 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

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