نتایج جستجو برای: level specific rating
تعداد نتایج: 2028519 فیلتر نتایج به سال:
background : major injuries and death in accidents have roots in drowsiness. sleepiness is a main result of insufficient sleep. it is vital to explore drowsiness and its level. there are various sorts of methods in the forms of subjective and objective approaches. the goal of this study was to detect the association of subjective and interpretive drowsiness with facial dynamic changes. methods:...
objective : the present study is investigating the attribution style in patients with the anxiety and depression comorbidity. method: subjects are 26 patients with major depression, 25 patients with generalized anxiety disorder, 17 patients with comorbidity of anxiety and depression, and 30 normal individuals. the aparatus used in the study for data collecting were beck depression inventory, be...
BACKGROUND The Level of Evidence rating was introduced in 2011 to grade the quality of publications. This system evaluates study design but does not assess several other quality indicators. This study introduces a new "Cosmetic Level of Evidence And Recommendation" (CLEAR) classification that includes additional methodological criteria and compares this new classification with the existing syst...
A central challenge of artificial intelligence is to create machines that can learn from their own experience and perform at the level of human experts. Using an evolutionary algorithm, a computer program has learned to play chess by playing games against itself. The program learned to evaluate chessboard configurations by using the positions of pieces, material and positional values, and neura...
Different proposals have been made in recent years to exploit Social Web tagging data to improve recommender systems. The tagging data was used for example to identify similar users or viewed as additional information about the recommendable items. In this work we propose to use tags as a means to express which features of an item users particularly like or dislike. Users would therefore not on...
Meta-learning allows machine learning systems to benefit from their repetitive application. If a learning system fails to perform efficiently, one would expect the learning mechanism itself to adapt in case the same task is presented again. Metalearning differs from base-learning in the scope of the level of adaptation; whereas learning at the base-level is focused on accumulating experience on...
A two-stage process by which an holistic rubric is applied to the assessment of open-ended items, such as writing samples, is defined. The first stage involves scoring a performance by the assignment of an integer rating that is congruent with the proficiency level that is exhibited in the performance. The second stage is the subsequent assignment by the rater of an augmentation that indicates ...
Background: Clinicians and researchers commonly use responsive outcome measures to interpret changes in a patient's condition as a result of an intervention. This study was conducted to assess the ability of the Persian version of Neck Disability Index and Functional Rating Index to detect responsiveness in the patients with neck pain.Methods: A diagnostic accuracy study was done in Ahvaz, Iran...
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