Search results for " Score"

showing 10 items of 778 documents

Child abuse/neglect risk assessment under field practice conditions: Tests of external and temporal validity and comparison with heart disease predic…

2015

AbstractObjectives (1) Identify validation design and accuracy assessment standards for medical prognostic models applicable to evaluation of child abuse/neglect (CA/N) risk assessment models. (2) Assess the accuracy of the California Family Risk Assessment (CFRA) in predicting CA/N using the foregoing standards. (3) Compare the prediction accuracy of the CFRA with the prediction accuracy of coronary heart disease (CHD) prediction models. Questions addressed (1) What validation design and accuracy assessment standards are used to evaluate medical prognostic models? (2) What is the evidence for the accuracy of the CFRA using those standards? (3) How does the accuracy of the CFRA in predictin…

Child abusePediatricsmedicine.medical_specialtyFramingham Risk ScoreSociology and Political ScienceReceiver operating characteristicbusiness.industryPoison controlCoronary heart diseaseEducationStatisticsDevelopmental and Educational PsychologymedicineRisk assessmentbusinessChild Abuse & NeglectPredictive modellingChildren and Youth Services Review
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Spanish Adaptation of the Inventory Brief Child Abuse Potential and the Protective Factors Survey

2021

Child maltreatment is a public health problem with different consequences depending on the form of abuse. Measuring risk and protective factors has been a fertile ground for research, without involving instruments with sufficient evidence of validity. The aim of the study was to gather evidence of validity and reliability of the Inventory Brief Child Abuse Potential (IBCAP) and Protective Factors Survey (PFS) in the Mexican population. The instruments were translated into Spanish. In a non-probabilistic sample of 200 participants, the 7-factor model for the IBCAP [comparative fit index (CFI) = 0.984; root mean square error of approximation (RMSEA) = 0.067] and the 4-factor model for the PFS…

Child abusemedicine.medical_specialtyreliabilitychild abusePublic health05 social sciencesDiscriminant validityValidity050109 social psychologySample (statistics)norms and interpretation of tests scoresStructural equation modelingBF1-990validity evidencesmedicinePsychologyprotective and risk factors0501 psychology and cognitive sciencesPsychologyGeneral PsychologyReliability (statistics)Original Research050104 developmental & child psychologyInterpretabilityClinical psychologyFrontiers in Psychology
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A multi-criteria evaluation system for arable land resource assessment

2020

This study proposed a multi-criteria evaluation system for arable land resources by combining the soil integrated fertility index (IFI) with a soil cleanliness index (based on heavy metals and metalloid content). A total of 16 typical arable land units in Chongming District, China, were evaluated using the proposed evaluation system based on 104 collected soil samples in 16 towns. The comprehensive soil evaluation scores of arable lands in 16 towns were in the range of 90.7 to 99.2 with a mean of 96.2, indicating that the arable land in all 16 towns was at the level of excellent (≥ 90.0). Lower cleanliness indices had a significant impact on the final evaluation score. In comparison with si…

ChinaEvaluation systemIndex (economics)Soil testarviointimenetelmätintegrated fertility index (IFI)010501 environmental sciencesManagement Monitoring Policy and LawSoil cleanliness index01 natural sciencesArticleArable land resourcemulti-criteria evaluation systemComprehensive soil evaluation scoreraskasmetallitSoilMetals HeavyMulti-criteria evaluation systemcomprehensive soil evaluation scoreheavy metalshedelmällisyys0105 earth and related environmental sciencesGeneral Environmental Science2. Zero hungerarable land resourcebusiness.industrysoil cleanliness indexmaaperänsuojeluHeavy metalsSubsidyAgriculture04 agricultural and veterinary sciencesGeneral Medicine15. Life on landRequisitionPollutionIntegrated fertility index (IFI)6. Clean waterHeavy metalsAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceArable landWater resource managementbusinessEnvironmental MonitoringEnvironmental Monitoring and Assessment
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Diagnosis of familial hypercholesterolemia in a large cohort of Italian genotyped hypercholesterolemic patients

2022

Background and aims: Familial hypercholesterolemia (FH) is the most relevant genetic cause of early cardiovascular disease (CVD). FH is suspected when low density lipoprotein cholesterol (LDL-C) levels exceed the 95th percentile of the population distribution. Different diagnostic scoring systems have been developed, as the Dutch Lipid Clinic Network (DLCN) score, used worldwide. The aim of the study is to describe the characteristics of FH patients of a large cohort of more than eight hundred genotyped subjects enrolled in an Italian Lipid Clinic, and evaluate the DLCN score performance applied retrospectively to the case study. Methods: 836 hypercholesterolemic patients with LDL-C > 4.…

Cohort StudiesHyperlipoproteinemia Type IIHeterozygoteSettore MED/09 - Medicina InternaSettore BIO/12 - Biochimica Clinica E Biologia Molecolare ClinicaGeneticPredictive scoresFamilial hypercholesterolemiaHumansCholesterol LDLLipidCardiology and Cardiovascular MedicineRetrospective StudiesAtherosclerosis
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Replicating Experiments in “Detour Behavior” with Artificially Evolved Robots: An A-Life Approach to Comparative Psychology

1999

To be useful in psychology "artificial organisms" have to perform tasks comparable to those performed by animals. One way to achieve this is to rephcate actual animal experiments. Here we reproduce an experiment showing "detour behavior" in chicks - a behavior usually explained in terms of "cognitive maps" or other forms of internal representation. We artificially evolve software-simulated robots with a "generic" ability to detour. Sensor-motor physics are carefully calibrated with data from a physical robot. Robot architecture is constrained to exclude internal representation. The evolutionary process rewards exploratory skills as well as detour behavior. Robot performance matches the resu…

Comparative psychologyCognitive mapProcess (engineering)business.industryRobotMobile robotArtificial intelligenceRepresentation (mathematics)businessFitness scoreRobot architecture
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Systematic reasoning: Formal or postformal cognition?

1995

The focus of this study was to investigate the relationship between formal and postformal systematic metasystematic reasoning. Shayer's (1978) chemicals task and a modified version of Kuhn and Brannock's (1977) plant task were used to measure formal thinking and Commons, Richard, and Kuhn's (1982) multisystem task and balance-beam task to detect postformal reasoning. Subjects were university students from the humanities and social sciences (N=35). For each subject, a composite score was defined by taking into account the highest score in the tasks measuring the same developmental stage. Findings indicated that composite scores of formal and postformal reasoning were significantly correlated…

Composite scoreExperimental and Cognitive PsychologyCognitionVerbal reasoningTask (project management)Developmental psychologyFocus (linguistics)Postformal thoughtDevelopmental and Educational PsychologyCognitive developmentSystems thinkingLife-span and Life-course StudiesPsychologyCognitive psychologyJournal of Adult Development
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Comment on: A critical analysis of the internal logic in the Life-Space Assessment (LSA) composite score and suggested solutions

2016

Background:An individual’s ability to live independently is commonly measured in health research interested in identifying risk factors associated with disablement processes. In order to inform clinical practice, population research has attempted to identify the contraction of “lived-space” by using various survey instruments.Problem:Studies assessing habitual movements over the environment with the Life-Space Assessment (LSA) survey instrument should carefully consider how the LSA Composite Score (LSA-CS) is computed. Until now, no publication has carefully delineated the assumptions guiding the internal logic used in the computation of the LSA-CS.Core argument:Because the internal logic o…

Composite scoreLogicPopulation researchLife-Space AssessmentPhysical Therapy Sports Therapy and Rehabilitationcomputer.software_genre03 medical and health sciences0302 clinical medicineScoring algorithmActivities of Daily LivingHumans030212 general & internal medicineMobility LimitationInternal logicbusiness.industryRehabilitationGeriatric assessmentta3141ta3142Clinical PracticeLife spaceArtificial intelligenceSurvey instrumentbusinessPsychologycomputerSocial psychology030217 neurology & neurosurgeryNatural language processingClinical Rehabilitation
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Assessment of volume and density of epicardial fat: comparison between CT calcium score and CT coronary angiography scans.

2015

Aims and objectives Methods and materials Results Conclusion Personal information References

Computer Applications-Generalgenetic structuresArteriosclerosisSettore MED/36 - Diagnostica Per Immagini E RadioterapiaCardiacCT-Angiographyepicardial fat CT calcium score CT coronary angiography
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A holistic modeling for QoE estimation in live video streaming applications over LTE Advanced technologies with Full and Non Reference approaches

2018

Abstract Current mobile networks are providing high speed access to Internet at a rate of Gigabits per second. In this scenario, traditional services over wired networks are an alternative, in particular those based on live video streaming. But in the transition, different issues should be considered due to the rapid changing network conditions and the limited resources of the mobile devices. These issues should be taken into account to keep a good Quality of Experience (QoE) of the video in terms of a high Mean Opinion Score (MOS), a subjective video quality. Our goal is to estimate and predict this subjective metric in a holistic manner. Thus, we have analyzed and measured different varia…

Computer Networks and Communicationsbusiness.industryComputer scienceQuality of serviceMean opinion scoreReal-time computing020206 networking & telecommunications02 engineering and technologyVideo qualityLTE Advanced0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingThe InternetQuality of experiencebusinessMobile deviceSubjective video qualityComputer Communications
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Machine Learning Techniques for Automatic Depression Assessment

2018

Depression is one of the most common mood disorder that is inherently related to emotions, involving bad mood, low self-esteem and loss of interest in normal pleasurable activities. The aim of this work is to develop a framework based on the dataset provided by AVEC'14 for depression assessment. The proposed work presents two different motion representation methods: a) Gabor Motion History Image (GMHI), and b) Motion History Image (MHI). Several combinations of appearance-based low level features are extracted from both motion representations. These features were further combined with statistically derived features, and used for training and testing with several machine learning techniques.…

Computer sciencebusiness.industryWork (physics)020207 software engineering02 engineering and technologyMachine learningcomputer.software_genreMotion (physics)Image (mathematics)Mood0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessRepresentation (mathematics)Affective computingF1 scorecomputer2018 41st International Conference on Telecommunications and Signal Processing (TSP)
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