false negative rate
Low False Negative Rate of PCR Analysis for Detecting Human Papillomavirus Related Cervical Lesions
... the false-negative rate of the ...this rate is ...the rate of conversion from latent infection to clinically significant disease is substantial (25, 26), factors identifying which ...
6
Improving Performance of Neighbor Discovery in MANET by using Threshold Value and Time Out Parameter
... offers false positive and false negative rate improvement within the existence of various attacks for improving the performance of an existing method (NPV) parameters such as; threshold value ...
6
Estimation of the Spontaneous Mutation Rate per Nucleotide Site in a Drosophila melanogaster Full-Sib Family
... the false negative rate for base pair ...the rate of failure to detect mutations from 1 minus the number of syn- thetic mutations called, divided by the number of mutated sites at which a ...
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1k-RiCA (1K-Rice Custom Amplicon) a novel genotyping amplicon-based SNP assay for genetics and breeding applications in rice
... tive Rate’ (‘FPR’), or “the proportion known negative ge- notypes incorrectly classified as having the target QTL ...‘ False Negative Rate ’ (‘FNR’) or “the converse of FPR, the ...
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Value of BRAF V600E in High Risk Thyroid Nodules with Benign Cytology Results
... nodules negative for the BRAF V600E mutation and 36 patients had nodules positive for the BRAF V600E ...the false-negative rate of ...were negative for the BRAF V600E ...results ...
6
Utility of Decision Rules for Transcutaneous Bilirubin Measurements
... the false-negative rate and avoiding blood draws for TSB are not equally valued when assessing the utility of a decision rule for a diagnostic test used to assess newborn jaundice (ie, a low ...
10
Threshold Selection Study on Fisher Discriminant Analysis Used in Exon Prediction for Unbalanced Data Sets
... the false negative rate and the false positive rate equal [6]; but for some real situations, the threshold could not be obtained by the method because the sizes of the positive ...
5
Fair by design explainable models for prediction of recidivism
... the false positive rate for black people from ...the false negative rate, when a defendant is predicted to not recidivate but they do, for white population has decreased from ...
5
Spam Detection In Sms Using Machine Learning Through Text Mining
... positive rate, false positive rate, true negative rate, false negative rate, f1 score, accuracy, precision, and ...Positive Rate (TP) - It denotes the ...
6
Survey Paper on Big Data based Isolation Security by Smartcard Authentication System
... the false-positive rate of misuse detection and also the ability of anomaly detection to detect zero-day malware, proposal is made on a novel hybrid detection system based on a brand new open source ...
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On the KDD’99 Dataset: Support Vector Machine Based Intrusion Detection System (IDS) with Different Kernels
... Abstract – The success of any Intrusion Detection System (IDS) is a complicated problem due to its nonlinearity and the quantitative or qualitative network traffic data stream with many features. To get rid of this ...
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A Study on the Clinical Presentation and the Sensitivity of FNAC in Thyroid Neoplasms
... of false positive diagnosis of malignancy is extremely low (Anderson & Webb ...for false negative diagnosis, which in earlier series ranged from 6 to 27% (Granberg et al 1983) Subsequent ...
63
Indian Sign Language Interpreter with Android Implementation
... The Adaptive Boosting (Adaboost) learning algorithms can integrate the information of a category of objects. This algorithm originally used by Viola-Jones algorithm to train the sample set which involves cascade based ...
6
False Negative Results in Clostridium difficile Testing
... Methods: This study investigated 48 patients that tested negative for toxigenic C. difficile via GeneXpert C. difficile epi test, while simultaneously testing positive for toxigenic C. difficile via stool culture. ...
6
Controlling the Rate of GWAS False Discoveries
... of false discovery rate, hence artificially creating a small false discovery rate, and lowering the barrier to possible false de- tections at distant ...
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Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments
... Actually, the objective of classification tasks is the prediction of the value of a variable of interest on unseen instances. In this way, rules present dependencies between them in order to perform a proper ...
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Influence of negative affect on false memory production
... materials. False memory rates were found to be higher for low valence and high arousal, however the effects of arousal were only present for negatively valenced material (Steinmetz, Addis, & Kensinger, ...on ...
221
Screening Procedures for Neuroblastoma: False-Negative Results
... LaBrosse spot test: A practical aid in the diagnosis and management of children with neuroblastoma. Pediatrics, 47:913, 1971[r] ...
6
An intrusion detection scheme for identifying known and unknown web attacks (I WEB)
... The feature selection process has attracted the interest of many researchers due to its potential in reducing high dimensional data. According to Mukkamala et al. (2004), the feature ranking algorithm was introduced ...
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False data detection in mobile ad-hoc network based on digital signature
... the false data by the en-route node as early as possible before reaching the base ...defeat false data injection attacks ...the false messages will not be able travelling more and the nodes resources ...
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