Search results for "False negative result"

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Negative biopsy of focal hepatic lesions: Decision tree model for patient management

2019

OBJECTIVE. The purpose of this study was to investigate patient- and procedure-related variables affecting the false-negative rate of ultrasound (US)-guided liver biopsy and to develop a standardized patient-tailored predictive model for the management of negative biopsy results. MATERIALS AND METHODS. We retrospectively included 389 patients (mean age ± SD, 62 ± 12 years old) who had undergone US-guided liver biopsy of 405 liver lesions between January 1, 2013, and June 30, 2015. We collected multiple patient- and procedure-related variables. By comparing pathology reports of biopsy and the reference standard (further histology or imaging follow-up), we were able to categorize the biopsy r…

AdultImage-Guided BiopsyMalemedicine.medical_specialtyRadiology Nuclear Medicine and ImagingFalse Negative Result030218 nuclear medicine & medical imaging03 medical and health sciencesCore biopsyFalse-negative result0302 clinical medicineBiopsymedicineHumansFalse Negative ReactionsUltrasonography InterventionalAgedRetrospective StudiesAged 80 and overFine-needle aspirationmedicine.diagnostic_testUS-guided liver biopsybusiness.industryLiver DiseasesDecision TreesUltrasoundnutritional and metabolic diseasesGeneral MedicineMiddle AgedPatient managementDiagnostic errorFine-needle aspiration030220 oncology & carcinogenesisLiver biopsyFemaleRadiologybusinessCore biopsyDecision tree model
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Application of the Morris method for screening the influential parameters of fuzzy controllers applied to wastewater treatment plants

2011

In this paper,we evaluate the application of a sensitivity analysis to help fine-tuning a fuzzy controller for a biological nitrogen and phosphorus removal (BNPR) plant. TheMorris Screeningmethod is proposed and evaluated as a prior step to obtain the parameter significance ranking. First, an iterative procedure has been performed in order to find out the proper repetition number of the elementary effects (r) of the method. The optimal repetition number found in this study (r = 60) is in direct contrast to previous applications of the Morris method, which usually use low repetition number, e.g. r = 10 ~ 20. Working with a non-proper repetition number (r) could lead to Type I error (identify…

EngineeringParameterFuzzy controllersWastewater treatmentWastewaterScreening methodChemicals removal (water treatment)Parameter significance rankingWaste ManagementWastewater treatment plantsStatisticsWater treatmentFalse positiveControl systemWater Science and TechnologyControllersPhosphorusMorris methodFine-tuningError analysisPollutant removalFuzzy mathematicsCalibrationFalse negativesScreeningSensitivity analysisType I and type II errorsOptimizationWastewater treatment plant (WWTP)Environmental EngineeringWaste water treatment plantNitrogenIterative proceduresNumerical methodRepetition NumberFuzzy logicSewage pumping plantsArticleFalse positive resultFuzzy LogicControl theoryMorris methodSensitivity (control systems)Water treatment plantsBiological water treatmentFalse negative resultTECNOLOGIA DEL MEDIO AMBIENTEBiological nitrogen and phosphorus removalType II errorToxicitybusiness.industryNitrogen removalFuzzy mathematicsRankingFuzzy controllerType-I errorbusiness
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