Area under the roc curve - Open Access .click

Results 91 to 100 of about 127,975,471 (298)

ROC curve illustrating the area under the curve for disorder strength and cancer prediction.

, 2018
ROC curve illustrating the area under the curve for disorder strength and cancer prediction.
Mart A. Dela Cruz (5233481) +8 more
core +1 more source

Validation of a Cellular Imaging‐Based Method as a Potential Biomarker for SPG4 Hereditary Spastic Paraplegia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini +12 more
wiley +1 more source

Predictive Modelling of Low Birth Weight in Pregnancies: A Comparative Analysis of Logistic Regression and Decision Tree Approaches

Indian Journal of Community Medicine
Background: Birth weight plays a vital role in an infant’s comprehensive development. Low birth weight (LBW) infants may go through several kinds of health complications in the early stages of their lives.
Ravi Kumar +5 more
doaj +1 more source

Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay +15 more
wiley +1 more source

A Fast Algorithm for Unbiased Estimation of Variance of AUC Based on Dynamic Programming

IEEE Access, 2016
Receiver operating characteristic (ROC) curve is a plot traced out by pairs of false-positive rate and true-positive rate according to various decision threshold settings.
Weichao Xu +4 more
doaj +1 more source

Arterial Spin‐Labeling MRI at the Cortical‐CSF Interface: A Novel Biomarker in Alzheimer Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background/Objective Arterial spin‐labeling (ASL) MRI can measure perfusion signal adjacent to CSF spaces and may provide information regarding CSF‐adjacent water transport physiology. We developed an automated pipeline to extract cortical‐CSF interface (IF) perfusion for comparison between Alzheimer disease (AD) and cognitively normal ...
Mona Asghariahmadabad +22 more
wiley +1 more source

An Improved Method for Bandwidth Selection when Estimating ROC Curves [PDF]

The receiver operating characteristic (ROC) curve is used to describe the performance of a diagnostic test which classifies observations into two groups.
Peter Hall, Rob J. Hyndman
core

Regression analysis for the partial area under the ROC curve [PDF]

, 2008
: Performance evaluation of any classification method is fundamental to its acceptance in practice. Evaluation should consider the dependence of a classifier's accuracy on relevant covariates in addition to its overall accuracy.
Lori E Dodd, Tianxi Cai
core

Area under ROC curve.977 (CI.957–997).

, 2014
Area under ROC curve.977 (CI.957–997).
Hans Forssberg (526893) +3 more
core +1 more source

Area Under the Curve (AUC) and level of significance for ROC curves.

, 2023
Area Under the Curve (AUC) and level of significance for ROC curves.
Neeti Rustagi (10219353) +11 more
core +1 more source

roc curve
area under curve
area under the curve

humans
area under the curve auc
machine learning

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receiver operating characteristic roc
medicine