نتایج جستجو برای: face validation
تعداد نتایج: 334953 فیلتر نتایج به سال:
INTRODUCTION Skin cancer is the most common malignancy worldwide, often occurring on the face, where the cosmetic outcome of treatment is paramount. A number of skin cancer-specific patient-reported outcome measures (PROMs) exist, however none adequately consider the difference in type of reconstruction from a patient's point of view. It is the aim of this study to 'anglicise' (to UK English) a...
Background and Objective: A scientific questionnaire for assessing the knowledge, attitude and judgment of people on waste management by municipalities has not been developed so far. Therefore, the purpose of this study was to design and validation of an instrument to assess the knowledge, attitude and judgment of people on waste management by municipalities. Materials and Methods: This analyt...
Upon a first encounter, individuals spontaneously associate faces with certain personality dimensions. Such first impressions can strongly impact judgments and decisions and may prove highly consequential. Researchers investigating the impact of facial information often rely on (a) real photographs that have been selected to vary on the dimension of interest, (b) morphed photographs, or (c) com...
This paper presents MLBoost, an efficient method for learning to compare face signatures, and shows its application to the hierarchical organization of large face databases. More precisely, the proposed metric learning (ML) algorithm is based on boosting so that the metric is learned iteratively by combining several weak metrics. Boosting allows our method to be free of any hyper-parameters (no...
Medical imaging is an invaluable tool for diagnosis, surgical guidance, and assessment of treatment efficacy. The Network for Translational Research (NTR) for Optical Imaging consists of four research groups working to "bridge the gap" between lab discovery and clinical use of fluorescence- and photoacoustic-based imaging devices used with imaging biomarkers. While the groups are using differen...
The Health Care Financing Administration's (HCFA) approach to measuring quality of care uses an accepted definition of quality, explicit domains of measurement, and a formal validation procedure that includes face validity, construct validity, reliability, clinical validation, and tests for usefulness. The indicators of quality for Medicare and Medicaid patients span the range of service types,...
Poor measurement of explanatory variables occurs frequently in observational studies. Error-prone observations may lead to biased estimation and loss of power in detecting the impact of explanatory variables on the response. We consider misclassified binary exposure in the context of case-control studies, assuming the availability of validation data to inform the magnitude of the misclassificat...
Expert systems have demonstrated commercial viability in a wide range of applications, but still face some obstacles to widespread use. A major stumbling block is the lack of well-defined verification and validation (V&V) techniques. The primary difficulty with expert system V&V is the use of development methodologies which do not support V&V. As with conventional code, the key to effective V&V...
In 2005, the Healthcare Information Management Systems Society (HIMSS) Nursing Informatics Community developed a survey to measure the impact of health information technology (HIT), the I-HIT Scale, on the role of nurses and interdisciplinary communication in hospital settings. In 2007, nursing informatics colleagues from Australia, England, Finland, Ireland, New Zealand, Scotland and the Unite...
Abstract. This paper introduces a comparison of one linear and two nonlinear one-step-ahead predictive models that were used to describe the relationship between human emotional signals (excitement, frustration, and engagement/boredom) and virtual dynamic stimulus (virtual 3D face with changing distance-between-eyes). An input–output model building method is proposed that allows building a stab...
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