Showing 1,941 - 1,960 results of 22,070 for search 'decision three methods', query time: 0.32s Refine Results
  1. 1941

    Exploring the decision-making process of Chinese older adults transitioning to continuing care retirement communities: a qualitative study by Meina Yuan, Nan Ding, Jinping Zhao, Tao Xue, Xinyi Xu, Yuanshuo Ma, Jie Hu

    Published 2025-08-01
    “…Results The transition to CCRCs among Chinese older adults is a dynamic, four-phase process: (1) Intention Formation, driven by desires for independence, challenges of living alone, and crisis events; (2) Option Evaluation, shaped by care needs, financial considerations, and sociocultural and emotional factors; (3) Decision-Making, focused on selecting a specific CCRC; and (4) Post-Decision, reflecting on evaluation of the decision. …”
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  14. 1954

    Evaluating artificial intelligence bias in nephrology: the role of diversity, equity, and inclusion in AI-driven decision-making and ethical regulation by Suryanarayanan Balakrishnan, Charat Thongprayoon, Wannasit Wathanavasin, Wannasit Wathanavasin, Jing Miao, Michael A. Mao, Iasmina M. Craici, Wisit Cheungpasitporn

    Published 2025-05-01
    “…This study investigates how AI models (ChatGPT 3.5 and 4.0) handle DEI-related ethical considerations in nephrology, highlighting the need for improved regulatory oversight to ensure equitable AI deployment.MethodsThe study was conducted in March 2024 using ChatGPT 3.5 and 4.0. …”
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  15. 1955

    Engagement in healthcare decision-making and associated factors among patients with chronic non-communicable diseases in Southwest Ethiopia, 2023 by Sadik Abdulwehab, Yeshitila Belay, Frezer Kedir, Ebrahim Yimam, Admasu Belay

    Published 2024-11-01
    “…Result: A total of 422 patients with chronic diseases participated in the study yielding a response rate of 99.3 %. Slightly greater than one-third (35.8 % (95 % CI: 31.19, 40.41)) of participants in The study area had a high engagement in healthcare decision-making. …”
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  16. 1956

    Dickkopf1 regulates fate decision and drives breast cancer stem cells to differentiation: an experimentally supported mathematical model. by Zvia Agur, Oleg U Kirnasovsky, Genadiy Vasserman, Lilach Tencer-Hershkowicz, Yuri Kogan, Hannah Harrison, Rebecca Lamb, Robert B Clarke

    Published 2011-01-01
    “…<h4>Conclusions/significance</h4>Our study suggests that Dkk1 treatment may be more robust than other methods for eliminating CSCs, as it challenges a general cellular homeostasis mechanism, namely, fate decision by QS. …”
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