The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Nordic Control Organizations - One of the best experts on this subject based on the ideXlab platform.
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how to deal with semi quantitative tests application of an Ordinal Scale model to measurements of urine glucose
Scandinavian Journal of Clinical & Laboratory Investigation, 2009Co-Authors: Per Hyltoft Petersen, Sverre Sandberg, N G Christensen, Gunnar Nordin, Morten Pedersen, Nordic Control OrganizationsAbstract:AbstractBackground: The interpretation of semi-quantitative methods has always been difficult, because the different kitmanufacturers use varying concentration values and there is a considerable overlap between kit-defined concentrations within the same kit (Kit: ‘Ready-to-use’ measuring system specific for each manufacturer's product). Material: More than 2000 private practitioners and laboratories participated in three external quality control surveys on urine-glucose performed with a total of six control materials with known concentrations. Method: The Ordinal Scale model for evaluation of dichotomous methods based on rankit transformation of fractions of positive results (Petersen et al. Scand J Clin Lab Invest 2008;68:298–311) has been extended and modified to handle semi-quantitative data. Here, the percentages of results larger than the kit-concentration is calculated for each control sample and applied as a dichotomous method. Thereafter, these percentages are separated into all the defined kit-co...
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how to deal with dichotomous tests application of a rankit Ordinal Scale model with examples from the nordic Ordinal Scale project on screening tests
Scandinavian Journal of Clinical & Laboratory Investigation, 2008Co-Authors: Hyltoft P Petersen, Sverre Sandberg, Gunnar Nordin, Morten Pedersen, Gade N Christensen, Nordic Control OrganizationsAbstract:Objective. The purpose of this investigation was to improve a rankit Ordinal model for evaluating and validating dichotomized tests in a prospective Nordic project. Material and methods. The model is based on the assumption that the S‐shaped curve of fractions of positive for increasing concentrations can be de‐convoluted to a histogram and thereby used to calculate the parameters for a ln‐Gaussian distribution. In a Nordic survey, four urine samples with known concentrations of hCG (human chorionic gonadotrophin) and nitrites were distributed to more than 2500 practitioners' offices. Results. The results are presented as parameters (geometric mean and CV) for the components urine‐hCG and urine‐nitrites, together with fractions of positive for clinical critical values (5 and 40 IU/L for hCG), for which fractions should be below 0.01 and above 0.99, respectively, and 7 µmol/L for nitrites. Furthermore, the concentration intervals of varying fractions of positive from 0.01 to 0.99 are estimated as grey zone...
Kevin Kam Fung Yuen - One of the best experts on this subject based on the ideXlab platform.
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combining compound linguistic Ordinal Scale and cognitive pairwise comparison in the rectified fuzzy topsis method for group decision making
Fuzzy Optimization and Decision Making, 2014Co-Authors: Kevin Kam Fung YuenAbstract:Group decision making is the process to explore the best choice among the screened alternatives under predefined criteria with corresponding weights from assessment of a group of decision makers. The Fuzzy TOPSIS taking an evaluated fuzzy decision matrix as input is a popular tool to analyze the ideal alternative. This research, however, finds that the classical fuzzy TOPSIS produces a misleading result due to some inappropriate definitions, and proposes the rectified fuzzy TOPSIS addressing two technical problems. As the decision accuracy also depends on the evaluation quality of the fuzzy decision matrix comprising rating scores and weights, this research applies compound linguistic Ordinal Scale as the fuzzy rating Scale for expert judgments, and cognitive pairwise comparison for determining the fuzzy weights. The numerical case of a robot selection problem demonstrates the hybrid approach leading to the much reliable result for decision making, comparing with the conventional fuzzy Analytic Hierarchy Process and TOPSIS.
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SMC - Enhancement of ELECTRE I using Compound Linguistic Ordinal Scale and Cognitive Pairwise Comparison
2009 IEEE International Conference on Systems Man and Cybernetics, 2009Co-Authors: Kevin Kam Fung YuenAbstract:ELECTRE is one of the popular approaches of multi-criteria decision making. Setting parameters for ELECTRE is one of the essential steps. This research proposes the Cognitive Pairwise Comparison (CPC) and the Compound Linguistic Ordinal Scale (CLOS) to determine the parametric settings in ELECTRE I. The usability and applicability of the enhancement of ELECRE I are illustrated in a case of the information system selection problem.
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FUZZ-IEEE - Enhancement of TOPSIS using compound linguistic Ordinal Scale and cognitive pairwise comparison
2009 IEEE International Conference on Fuzzy Systems, 2009Co-Authors: Kevin Kam Fung YuenAbstract:TOPSIS is one of the popular multi-criteria decision making models. However, the determinations of the parametric settings of the rating Scale and the weights for the decision matrix are still uncertain in TOPSIS. This research proposes the Compound Linguistic Ordinal Scale (CLOS) as the rating Scale for the subject measure, and the Cognitive Pairwise Comparison (CPC) for determining the weight. The usability and applicability of the enhanced TOPSIS are illustrated in a case of the robot selection problem.
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Enhancement of ELECTRE I using Compound Linguistic Ordinal Scale and Cognitive Pairwise Comparison
2009 IEEE International Conference on Systems Man and Cybernetics, 2009Co-Authors: Kevin Kam Fung YuenAbstract:ELECTRE is one of the popular approaches of multi-criteria decision making. Setting parameters for ELECTRE is one of the essential steps. This research proposes the cognitive pairwise comparison (CPC) and the compound linguistic Ordinal Scale (CLOS) to determine the parametric settings in ELECTRE I. The usability and applicability of the enhancement of ELECRE I are illustrated in a case of the information system selection problem.
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Enhancement of TOPSIS using compound linguistic Ordinal Scale and cognitive pairwise comparison
2009 IEEE International Conference on Fuzzy Systems, 2009Co-Authors: Kevin Kam Fung YuenAbstract:TOPSIS is one of the popular multi-criteria decision making models. However, the determinations of the parametric settings of the rating Scale and the weights for the decision matrix are still uncertain in TOPSIS. This research proposes the compound linguistic Ordinal Scale (CLOS) as the rating Scale for the subject measure, and the cognitive pairwise comparison (CPC) for determining the weight. The usability and applicability of the enhanced TOPSIS are illustrated in a case of the robot selection problem.
Robert B Banzett - One of the best experts on this subject based on the ideXlab platform.
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measurement of dyspnea word labeled visual analog Scale vs verbal Ordinal Scale
Respiratory Physiology & Neurobiology, 2003Co-Authors: Robert W Lansing, Shakeeb H Moosavi, Robert B BanzettAbstract:We previously used a verbal Ordinal rating Scale to measure dyspnea. That Scale was easy for subjects to use and the words provided consistency in ratings. We have recently developed a word labeled visual analog Scale (LVAS) with labels placed by the subjects, retaining the advantages of a verbal Scale while offering a continuous Scale that generates parametric data. In a retrospective meta-analysis of data from 43 subjects, individuals differed little in their placement of words on the 100 mm LVAS (mean±S.D. for slight=20±2.5 mm, moderate=50±5 mm and severe=80±6 mm) and ratings were distributed uniformly along the Scale. A significant stimulus–response correlation was obtained for both the LVAS (r2=0.98) and for the verbal Ordinal Scale (Spearman r=0.94). The resolution of the two Scales differed only slightly. With meaningful verbal anchors, well-defined end-points, and clear instructions about the specific sensation to be rated, both Scales provide valid measures of dyspnea.
Robert Lemoyne - One of the best experts on this subject based on the ideXlab platform.
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traditional clinical evaluation of gait and reflex response by Ordinal Scale
2018Co-Authors: Robert Lemoyne, Timothy MastroianniAbstract:The original technique for quantifying the rehabilitation status of a patient involves the observation by an expert clinician. Based on this expert observation the clinician applies a subjective interpretation to a series of Ordinal Scale rankings. Examples of scenarios for applying the Ordinal Scale methodology involve the evaluation of the tendon reflex response and gait. More sophisticated quantification techniques that are derived from the Ordinal Scale approach pertain to the evaluation of neuro-degenerative diseases, such as Friedreich’s ataxia. Intuitively these Ordinal Scale techniques are subjective, which causes their reliability to be a subject of controversy. Furthermore, the level of experience of the evaluating clinician can significantly influence the reliability of the evaluation. An alternative solution would be the incorporation of wearable and wireless systems, such smartphones and portable media devices, for quantifying human movement, such as gait and reflex response.
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Implementation of an iPhone for characterizing Parkinson's disease tremor through a wireless accelerometer application
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010Co-Authors: Robert Lemoyne, Timothy Mastroianni, Michael Cozza, Cristian Coroian, Warren GrundfestAbstract:Parkinson's disease represents a chronic movement disorder, which is generally proportionally to age. The status of Parkinson's disease is traditionally classified through Ordinal Scale strategies, such as the Unified Parkinson's Disease Rating Scale. However, the application of the Ordinal Scale strategy inherently requires highly specialized and limited medical resources for interpretation. An alternative strategy involves the implementation of an iPhone application that enables the device to serve as a functional wireless accelerometer system. The Parkinson's disease tremor attributes may be recorded in either an effectively autonomous public or private setting, for which the resultant accelerometer signal of the tremor can be conveyed wireless and through email to a remote location for data post-processing. The initial testing and evaluation of the iPhone wireless accelerometer application for quantifying Parkinson's disease tremor successfully demonstrates the capacity to acquire tremor characteristics in an effectively autonomous environment, while potentially alleviating strain on limited and highly specialized medical resources.
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Quantification of Parkinson's disease characteristics using wireless accelerometers
2009 ICME International Conference on Complex Medical Engineering, 2009Co-Authors: Robert Lemoyne, Cristian Coroian, Timothy MastroianniAbstract:Parkinson's disease is classified as a chronic movement disorder. The incidence of Parkinson's disease is proportional to age. The status of Parkinson's disease is characterized through the Unified Parkinson's Disease Rating Scale. The Unified Parkinson's Disease Rating Scale is an Ordinal Scale, for which the Scale is qualitatively evaluated. The inherent issue of the Ordinal Scale is the lack of a temporal parameter to evaluate the attributes of the movement disorder. The evaluation of the Parkinson's Disease Rating Scale requires clinical specialization, occurring in a clinical environment. Accelerometers, through the advent of miniaturization, have reached a capacity to advance the evaluation of Parkinson's disease. Tremor characteristics and temporal attributes of Parkinson's disease can be readily quantified. Accelerometer systems have been tested and evaluated for ascertaining general status, drug therapy efficacy, and amelioration of Parkinson's disease based on deep brain stimulation parameter settings. Further advance of the accelerometer characterization of Parkinson's disease attributes involves the incorporation of a fully wearable system. Such a system is possible with the integration of wireless 3D MEMS accelerometers. The device proposed incorporates a wireless and potentially wearable 3D MEMS accelerometer mounted on the dorsum of the hand. The wireless 3D MEMS accelerometer system can potentially track the Parkinson's disease status through out real time for a subject at the home-based setting of the subject. An implication of the device is a subject database can be generated quantifying the progression of Parkinson's disease. Drug therapy dosage may be optimized with quantified feedback from the wireless 3D MEMS accelerometer system. Deep brain stimulation parameters may be further refined, and the conceptual foundation for real time deep brain stimulation parameter optimization is established. Enclosed is the initial test and evaluation of the wireless 3D MEMS accelerometer system through the quantification of simulated tremor.
Warren Grundfest - One of the best experts on this subject based on the ideXlab platform.
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Implementation of an iPhone for characterizing Parkinson's disease tremor through a wireless accelerometer application
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010Co-Authors: Robert Lemoyne, Timothy Mastroianni, Michael Cozza, Cristian Coroian, Warren GrundfestAbstract:Parkinson's disease represents a chronic movement disorder, which is generally proportionally to age. The status of Parkinson's disease is traditionally classified through Ordinal Scale strategies, such as the Unified Parkinson's Disease Rating Scale. However, the application of the Ordinal Scale strategy inherently requires highly specialized and limited medical resources for interpretation. An alternative strategy involves the implementation of an iPhone application that enables the device to serve as a functional wireless accelerometer system. The Parkinson's disease tremor attributes may be recorded in either an effectively autonomous public or private setting, for which the resultant accelerometer signal of the tremor can be conveyed wireless and through email to a remote location for data post-processing. The initial testing and evaluation of the iPhone wireless accelerometer application for quantifying Parkinson's disease tremor successfully demonstrates the capacity to acquire tremor characteristics in an effectively autonomous environment, while potentially alleviating strain on limited and highly specialized medical resources.
