Showing 601 - 620 results of 22,070 for search 'decision three methods', query time: 0.29s Refine Results
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    Reducing complexity of patient decision aids for community-based older adults with dementia and their caregivers: multiple case study of Decision Boxes by France Légare, Gabriel Bilodeau, Holly Witteman, Juliette Lafontaine-Bruneau, Philippe Voyer, Edeltraut Kröger, Marie-Claude Tremblay, Anik M C Giguere

    Published 2019-05-01
    “…Objectives To identify patient decision aids’ features to limit their complexity for older adults with dementia and their family caregivers.Design Mixed method, multiple case study within a user-centred design (UCD) approach.Setting Community-based healthcare in the province of Quebec in Canada.Participants 23 older persons (aged 65+ years) with dementia and their 27 family caregivers.Results During three UCD evaluation-modification rounds, participants identified strengths and weaknesses of the patient decision aids’ content and visual design that influenced their complexity. …”
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  3. 603

    Using a hybrid multi-criteria analysis method to classify hot mix asphalt regarding permanent deformation by Victória Nunes-Ramos, Jéssica da Silva Vieira, Alejandro Ruiz-Padillo, Luciano Pivoto Specht

    Published 2025-06-01
    “…Based on the relative importance assigned by a panel of experts, it was found that it is possible to obtain a ranking statistically similar to that of Flow Number using only data from softening point and viscosity of the binder, granulometric range, shape index of the aggregate fraction #3/4 and binder content. The method is more effective for traffic of less than 6.8E+07 repetitions of standard axis under normal conditions. …”
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    Non-Homogeneous Poisson Process Software Reliability Model and Multi-Criteria Decision for Operating Environment Uncertainty and Dependent Faults by Youn Su Kim, Kwang Yoon Song, Hoang Pham, In Hong Chang

    Published 2025-05-01
    “…To demonstrate the effectiveness of the proposed model, 15 NHPP software reliability models were compared using 13 evaluation criteria and three <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>C</mi><mi>D</mi><mi>M</mi></mrow></semantics></math></inline-formula> methods across two datasets. …”
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    An AI-Based Approach for Developing a Recommendation System for Underground Mining Methods Pre-Selection by Elsa Pansilvania Andre Manjate, Natsuo Okada, Yoko Ohtomo, Tsuyoshi Adachi, Bernardo Miguel Bene, Takahiko Arima, Youhei Kawamura

    Published 2024-10-01
    “…Selecting the most appropriate mining method to recover mineral resources is a critical decision-making task in mining project development. …”
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    Patient and Public Perceptions of 3D Technologies (Models and Images) to Facilitate Health Care Consultations: Exploratory, Mixed Methods Study by Harleen Kaur Rai, Morven Miller, Steve Leung, Euan Macleod, Marilyn Lennon

    Published 2025-06-01
    “… Abstract Background3D technology, including models and images, can facilitate health care consultations by promoting a better understanding of information by patients and shared decision-making. …”
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    Technology prioritization framework to adapt maintenance legacy systems for Industry 4.0 requirement: an interoperability approach by André Luiz Alcântara Castilho Venâncio, Eduardo de Freitas Rocha Loures, Fernando Deschamps, Alvaro dos Santos Justus, Alysson Felipe Lumikoski, Guilherme Louro Brezinski

    Published 2022-05-01
    “…Originality Such a framework was produced through a series of strategic analyses using multicriteria decision-making (MCDM) methods. Research method These analyses are composed of three steps. …”
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    Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress by Jin-Biao Xie, Shi-Jie Huang, Tian-Bao Yang, Wu Wang, Bo-Yang Chen, Lianyi Guo

    Published 2024-11-01
    “…To construct a predictive model for 3-year overall survival (OS), machine-learning strategies including decision tree (DT), random forest (RF), and support vector machine (SVM) were employed. …”
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