Results 21 to 30 of about 3,627,751 (263)
Indian Journal of Anaesthesia, 2021 Background and Aims: Inferior vena cava (IVC) diameter and its respiratory variability have been shown to predict post-induction hypotension with high specificity in a mixed population of patients.
Sadik Mohammed +5 more
doaj +1 more source
Combining total and differential somatic cell count to screen for mastitis [PDF]
Acta Fytotechnica et Zootechnica, 2020 Somatic cell count (SCC) has been extensively used as indicator of udder health and milk quality. Recent developments in milk-testing technology have led to cell differentiation in milk in a high throughput manner.
Tania Bobbo
doaj +1 more source
Classifying Weak, and Strong Components using ROC Analysis with Application to Burn-in [PDF]
, 2007 Any population of components produced might be composed of two sub-populations: weak components are less reliable, and deteriorate faster whereas strong components are more reliable, and deteriorate slower.
Xie, Min +5 more
core +2 more sources
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 +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
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 +1 more
doaj
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
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 +5 more
doaj +1 more source
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
Molecular Oncology, EarlyView.This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source