Results 31 to 40 of about 3,064,133 (295)
VGG19 model receiver operating characteristic (ROC) curve.
, 2023 VGG19 model receiver operating characteristic (ROC) curve.
Theresa Henn (16806479) +1 more
core +1 more source
Evaluation of four scoring systems in prognostication of acute pancreatitis for elderly patients
BMC Gastroenterology, 2020 Background To evaluate the ability of four scoring systems (Ranson, BISAP, Glasgow, and APACHE II) to predict outcomes of acute pancreatitis (AP) in elderly patients.
Yajie Li, Jun Zhang, Jihong Zou
doaj +1 more source
IEEE Access, 2019 Receiver operating characteristic (ROC) analysis has been widely used in two-class problems. However, in practice, three-class problems are frequently encountered, especially in the area of medicine. To evaluate the performance of three-class classifiers,
Shun Liu, Weichao Xu, Xu Sun, Yun Zhang
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
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
Diagnostic methods 2: receiver operating characteristic (ROC) curves [PDF]
Kidney International, 2009 Clinical practice commonly demands 'yes or no' decisions; and for this reason a clinician frequently needs to convert a continuous diagnostic test into a dichotomous test. Receiver operating characteristic (ROC) curve analysis is an important test for assessing the diagnostic accuracy (or discrimination performance) of quantitative tests throughout the
Tripepi, Giovanni +3 more
openaire +2 more sources
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
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
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
Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals
Frontiers in Computational Neuroscience, 2017 Purpose: Driving fatigue has become one of the important causes of road accidents, there are many researches to analyze driver fatigue. EEG is becoming increasingly useful in the measuring fatigue state. Manual interpretation of EEG signals is impossible,
Jianfeng Hu
doaj +1 more source