Definitions for Diagnostic Algorithms and Precision
Calculating trauma triage precision: effects of different definitions of major trauma
... NISS-based definitions were substituted for ISS-based definitions, the outcomes of the triage precision calculations did not differ significantly between the two ...triage precision. We ...
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Improving the Precision of Lexicon-to-Ontology Alignment Algorithms
... alignment algorithms, looking first at the groundbreaking work of (Knight and Luk 1994), and at the similar work of (Rigau and Agirre 1995, Ageno et ...contain definitions, we could not employ the ...
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Diagnostic precision and sex differences in quantitative cardiovascular magnetic resonance
... 1.1.1 Sex and gender Sex and gender are two different concepts that often interact in disease. However, they have separate, distinct definitions according to the Canadian Institutes of Health Research [23]. Sex ...
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Asymptotic definitions for the analysis of algorithms
... ο¬ Constant terms, low order terms and coefficient of high order term are ignored during the analysis of order.. of growth for an algorithm.[r] ...
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Measures of diagnostic accuracy: basic definitions
... Furthermore, data on AUC state nothing about predicative vales and about the contribution of the test in ruling-in and ruling-out a diagnosis. Global measures are there for general assessment and for comparison of two or ...
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Breast Cancer Diagnostic Algorithms
... Core needle biopsy (CNB) is the method of choice for obtaining diagnostic tissue for patients with breast lesions where the differential diagnosis includes cancer. Fine needle aspiration biopsy (FNAB) is another ...
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Diagnostic algorithms in autoimmune encephalitis
... Over the past decade the discovery of novel forms of encephalitis associated with neuronal surface antibodies had changed the paradigms for diagnosing and treating disorders that were previously mischaracterized. ...
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CiteSeerX β On Optimizing the Arithmetic Precision of MCMC Algorithms
... Table II lists the optimization and speedup results from applying the method to both case studies, for different func- tions of interest and parameter combinations. π, π πππ % and π π πππ are the ones mentioned before. ...
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Tensometric tremorography in high-precision medical diagnostic systems
... Background: The objective of the study was to develop a system for the precision diagnostics of pathologies of motor brain regions based on tensometric measurement and to explore its diagnostic ...
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Hardware and Software Multi-precision Implementations of Cryptographic Algorithms
... This Thesis is brought to you for free and open access by the Thesis/Dissertation Collections at RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For ...
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New definitions of margin for multi-class Boosting algorithms
... In this dissertation we propose two Boosting algorithms for multi-class classification based on new generalizations of the concept of margin. The first of them, PIBoost, is conceived to tackle the multi-class ...
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Binary Decision Diagrams for sequences: definitions, properties and algorithms
... A multi-way reduction algorithm has been experimentally compared, to- gether with the state of the art algorithms, to study the amount of shared nodes in the resulting SDD base. The result is that sometimes is ...
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Proxy Re-Signatures: New Definitions, Algorithms, and Applications
... formal definitions and a security model, (3) we intro- duce provably secure proxy re-signature constructions from bilinear maps, and (4) we present new applications and perform comparisons with other cryptographic ...
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Pediatric sepsis and septic shock: definitions and treatment algorithms
... consensus definitions for the systemic inflammatory response syndrome (SIRS), sepsis, severe sepsis, and septic shock in 1992 ...These definitions have been modified for use in critically ill children with ...
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Survey of Machine Learning Algorithms for Disease Diagnostic
... Many algorithms have shown good results because they identi- fy the attribute ...learning algorithms for prediction of diseases are presented in ...these algorithms provide enhanced accuracy on ...
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A diagnostic toolbox for assessing point data generalisation algorithms
... generalisation algorithms, that is, algorithms that allow the generalised point set to be derived at run-timeβand hopefully in real- timeβfrom a more detailed ...the algorithms that qualify for ...
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Artefact detection and removal algorithms for EEG diagnostic systems
... learning algorithms perform separation based on several features at once, where greater separability may ...EEG diagnostic systems; however, they rely on accurately annotated ICA-decomposed data, something ...
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QUALITY ASSURANCE PROGRAMS FOR DIAGNOSTIC RADIOLOGY FACILITIES. (a) Applicability. (b) Definitions
... (b) Definitions As used in this section, the following definitions apply: βDiagnostic radiology facilityβ means any facility in which an x-ray system(s) is used in any procedure that involves ...
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Design and Implementation of High Precision DACs Calibration Algorithms Based on FPGA
... 1. INTRODUCTION Digital-to-Analog Converter (DAC) is a necessary device for the interface between digital circuit and analog circuit [1]. Along with the rapid development of electronic technology, traditional analog ...
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Reasonable Medical Certainty, Diagnostic Thresholds, and Definitions of Mental Illness in the Legal Context
... However, I believe it was an error for him to link this with other issues such as a legal or social threshold for diagnosis of mental illness which differs from the clinical thr[r] ...
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