True negative
Predictors of Metastasis and Outcome Following True Negative Sentinel Node Biopsy
... True negative SNB (TN-SNB) is defined as negative SNB without regional recurrence in the previously sampled node basin ...after negative SNB may exhibit different tumor ...despite ...
9
Cut off Determination of Discrimination Indices in Differential Diagnosis between Iron Deficiency Anemia and β- Thalassemia Minor.
... value, negative predictive value, Likelihood ratio positive , likelihood ratio negative and also evaluation of receiver operative characteristic (ROC) ...Specificity: True negative / ...
6
Can cholesterol be used to distinguish pleural exudates from transudates? evidence from a bivariate meta-analysis
... Studies were included if they fulfilled the following cri- teria: (1) they were original research articles published in English; (2) they examined the ability of pleural cholesterol level or P/S cholesterol ratio for ...
9
Perceived morbidity and community burden after a Chikungunya outbreak: the TELECHIK survey, a population-based cohort study
... follows: true positive (TP, symptomatic CHIK +), false negative (FN, asymptomatic CHIK+), not know- ing positive (NKP, CHIK+ without memories of symp- toms and serostatus), true negative (TN, ...
11
Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments
... Conf: Confidence; EPM: Emerging pattern mining; EPs: Emerging patterns; FPR: False positive rate; G-mean: Geometric mean of true positive rate and true negative rate; GR: Growth rate; IR[r] ...
15
Time-dependent observer errors in pulmonary nodule detection
... the true negative decisions made by these, the most experienced observers, were made within 2 s of cumulative fixation time on an image ...False negative decisions were characterized by longer dwell ...
6
Analysis of yeast codon usage patterns using the movable ORF collection
... Log Likelihood Method Predicted High Predicted Low Known High True Positive 27.5 False Negative 4.5 Known Low False Positive 7.1 True Negative 23.9 Sensitivity Specificity 86% 77% Accura[r] ...
59
EEG BASED GAP PERCEPTION IN HUMAN BEINGS
... namely true positive, true negative, false positive and false ...to true positive rest three is less than ...that true positive nothing but perceived wave is more prominent and ...
10
A Novel Approach for the Implementation of Classification Algorithms for Detecting Shadow and Non Shadow Regions of an Image
... What these classifiers does, they use the features contained in the output sheet of scene analysis to assign a label to each and every pixel of image that whether that particular pixel belongs to a “shadowed” label or a ...
5
Transbronchial and transesophageal fine-needle aspiration using a single ultrasound bronchoscope in the diagnosis of locoregional recurrence of surgically-treated lung cancer
... as true negative; the other 4 patients that presented node or mass associated to the nodal enlarge- ment underwent lobectomy: 3 patients had a final diagnosis of metachronous lung cancer without nodal ...
8
Prevalence, statistical thresholds, and accuracy assessment for species distribution models
... Thresholds, defined by the researcher, specify the pre- dicted probability above which a species is determined present. Often a threshold of 0.5 simply is used as a threshold for species presence, but may not to be the ...
7
Novel pattern recognition approaches for transcriptomics data analysis
... the comparison of CMT, MACS and T-PIC is based on the number of true positive (TP) and true negative (TN) detected peaks. CMT T-PIC MACS[r] ...
170
Ultrasensitive Detection and Quantification of Toxins for Optimized Diagnosis of Clostridium difficile Infection
... “true negative” samples (negative by NAAT, TC, and cytotoxicity as- say), plus 3 standard deviations of that ...the true-negative group were 96% and 98%, ...were negative by the ...
6
Sputum screening by Nomarski interference contrast microscopy
... b Percentage of specimens from each class that provided: true-positive results, potential pathogen isolated and evidence of lower-respiratory tract infection; true-negative results, no p[r] ...
5
Breast Cancer: The Accuracy of The Paus in Detecting pN2 and Factors that Lead to the True- and False-Negative Results
... About 70% of early breast cancer cases axillary lymph nodes are intact and surgical axillary intervention is unnecessary. There is an ongoing search for non-invasive methods to evaluate the status of axillary lymph nodes ...
9
Comparison of Western immunoblotting and microimmunofluorescence for diagnosis of Mediterranean spotted fever
... When the specificity of the results of our tests using healthy blood donors is evaluated true negative/[true negative + false positive], it may be concluded that the WB assay is more spe[r] ...
6
Universality of Language and Farsi-speaking Children: Verification Strategies
... It can also be inferred from the tables that the mean of the scores obtained by the subjects to negative statements was lower compared to affirmative statements. However, the difference between the means obtained ...
7
Direct Identification of Bacteria from Positive Blood Cultures by Amplification and Sequencing of the 16S rRNA Gene: Evaluation of BACTEC 9240 Instrument True Positive and False Positive Results
... ment true-positive samples (n ⫽ 45), and 20 instrument true-negative samples (negative Gram stain and no growth of bacteria or yeast on subculture on chocolate agar and for the same sample no ...
5
EFFICIENT REQUIREMENT PRIORITIZATION BASED ON ENHANCED MULTI VERSE OPTIMIZER
... TP True Positive = True mature image FP False Positive = Wrong mature image TN True Negative = True immature image FN False Negative = Incorrect immature image 4.1 First Experiment The t[r] ...
12
An intrusion detection scheme for identifying known and unknown web attacks (I WEB)
... The number of utilised features could increase the system's computational effort when processing large network traffic. In reality, it is pointless to use all features considering that redundant or irrelevant features ...
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