Results 41 to 50 of about 488,717 (225)

A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account

Frontiers in Artificial Intelligence, 2021
Receiver operating characteristic (ROC) curve is an informative tool in binary classification and Area Under ROC Curve (AUC) is a popular metric for reporting performance of binary classifiers.
Khashayar Namdar, Khashayar Namdar, Masoom A. Haider, Masoom A. Haider, Farzad Khalvati, Farzad Khalvati   +5 more
doaj   +1 more source

Receiver operating characteristic curve analysis in diagnostic accuracy studies: A guide to interpreting the area under the curve value

Turkish Journal of Emergency Medicine, 2023
This review article provides a concise guide to interpreting receiver operating characteristic (ROC) curves and area under the curve (AUC) values in diagnostic accuracy studies.
Ş. K. Çorbacıoğlu, G. Aksel
semanticscholar   +1 more source

Receiver Operating Characteristic (ROC) Curves

, 2018
Receiver operating characteristic (ROC) curves are used ubiquitously to evaluate covariates, markers, or features as potential predictors in binary problems. We distinguish raw ROC diagnostics and ROC curves, elucidate the special role of concavity in interpreting and modelling ROC curves, and establish an equivalence between ROC curves and cumulative ...
Gneiting, Tilmann, Vogel, Peter
openaire   +2 more sources

Familiarity, recollection, and receiver-operating characteristic (ROC) curves in recognition memory [PDF]

Memory & Cognition, 2019
The Atkinson-Shiffrin theory describes and explains some of the processes involved in storing and retrieving information in human memory. Here we examine predictions of related models for search and decision processes in recognizing information in long-term memory.
Juola, James F., Caballero-Sanz, Alexandra, Muñoz García, Adrián, Botella Ausina, Juan, Suero Suñe, Manuel   +4 more
openaire   +3 more sources

Psychometric Properties of the Persian Version Post-Stroke Depression Scale: The Case of Neurology Outpatients in Rasht, North Iran

Caspian Journal of Neurological Sciences, 2020
Background: Psychiatrists use different scales to evaluate post-stroke depression; however, some concerns have raised about their low specificity. Objectives: This study aimed to assess the validity and reliability of the Persian version of the Post ...
Somayeh Shokrgozar, Maryam Alizade Nia, Robabeh Soleimani, Mahnaz Fallahi Kheshtmasjedi, Sareh Maadi Raad, Aida Yahyazadeh   +5 more
doaj  

Acceptance sampling for attributes via hypothesis testing and the hypergeometric distribution

Journal of Industrial Engineering International, 2017
This paper questions some aspects of attribute acceptance sampling in light of the original concepts of hypothesis testing from Neyman and Pearson (NP).
Robert Wayne Samohyl
doaj   +1 more source

ROCS: receiver operating characteristic surface for class-skewed high-throughput data. [PDF]

PLoS ONE, 2012
The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e.
Tianwei Yu
doaj   +1 more source

Min-Max, Min-Max-Median, and Min-Max-IQR in Deciding Optimal Diagnostic Thresholds: Performances of a Logistic Regression Approach on Simulated and Real Data

Applied Medical Informatics, 2023
Combining biomarkers and their statistics is used to increase the prediction performance of a diagnosis, but no gold standard method exists. We introduced and evaluated an approach using linear combinations of summary-based statistics tested in logistic ...
Ilie-Andrei CONDURACHE, Sorana D. BOLBOACĂ   +1 more
doaj  

Identifying Potential miRNAs–Disease Associations With Probability Matrix Factorization

Frontiers in Genetics, 2019
In recent years, miRNAs have been verified to play an irreplaceable role in biological processes associated with human disease. Discovering potential disease-related miRNAs helps explain the underlying pathogenesis of the disease at the molecular level ...
Junlin Xu, Lijun Cai, Bo Liao, Wen Zhu, Peng Wang, Yajie Meng, Jidong Lang, Geng Tian, Jialiang Yang   +8 more
doaj   +1 more source

Determining the SARS-CoV-2 Anti-Spike Cutoff Level Denoting Neutralizing Activity Using Two Commercial Kits

Vaccines, 2022
Background: The viral neutralization assay is the gold standard to estimate the level of immunity against SARS-CoV-2. This study analyzes the correlation between the quantitative Anti-SARS-CoV-2 QuantiVac ELISA (IgG) and the NeutraLISA neutralization ...
Engy Mohamed El-Ghitany, Mona H. Hashish, Azza Galal Farghaly, Eman A. Omran   +3 more
doaj   +1 more source