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Proposed domains for assessing postpartum recovery: a concept elicitation study [PDF]
BJOG: An International Journal of Obstetrics & Gynaecology, 2021 ObjectiveTo propose postpartum recovery domains.DesignConcept elicitation study.SettingSemi‐structured interviews.PopulationTen writing committee members and 50 stakeholder interviews (23 postpartum women, nine general obstetricians, five maternal and fetal medicine specialists, eight nurses and five obstetric anaesthetists).MethodsAlternating ...
P Sultan +9 more
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Key Insights into Developing Qualitative Concept Elicitation Work for Outcome Measures with Children and Young People [PDF]
PatientQualitative concept elicitation can develop meaningful patient reported outcome measures for children and young people. However, the methods used for concept elicitation are often underreported for this population.
Joanna Coast +2 more
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Values elicitation among adults making health-related decisions: A concept analysis
Nursing Forum, 2022To conduct a concept analysis of values elicitation in the context of health care and treatment decision-making and formulate a conceptual definition.Values elicitation is a commonly cited term for an activity to help patients identify values and evaluate their application in health care decision-making, yet it remains ambiguous and difficult to ...
Pariya L Fazeli +2 more
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Elicitation of disease concepts in patients with diabetic foot ulcers: a qualitative study
Journal of Wound Care, 2020Objective:To identify in-depth information directly from patients with diabetic foot ulcers (DFU) on DFU symptoms, impacts on functioning and effects on health-related quality of life (HRQoL).Method:Semi-structured, qualitative concept elicitation interviews were conducted with patients with DFUs (Wagner grade 1 or 2) until saturation was reached ...
Linda N Casillas, Triza Brion
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Formal description of a supervised learning algorithm for concept elicitation by cognitive robots
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2016Concept elicitation is centric for machine knowledge extraction and representation in cognitive robot learning. This paper presents a supervised methodology for machine concept elicitation from informal counterparts described in natural languages. The collective opinions of a given concept in ten selected dictionaries are quantitatively analyzed and ...
Yingxu Wang, Omar A Zatarain
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Experiments on the supervised learning algorithm for formal concept elicitation by cognitive robots
2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2016Concept elicitation is a fundamental methodology for knowledge extraction and representation in cognitive robot learning. Traditional machine learning technologies deal with object identification, cluster classification, functional regression, and behavior acquisition.
Yingxu Wang, Omar A Zatarain
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Eliciting domain expert misuseability conceptions
Proceedings of the sixth international conference on Knowledge capture, 2011In previous work we proposed the M-score measure for assigning a misuseability (i.e., sensitivity) score to data records. The M-score uses sensitivity score functions that should be acquired from domain experts. In this paper we present two different approaches for acquiring the required knowledge.
Amir Harel +3 more
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