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Updated: Sep 16, 2025

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患者报告的数据可以改善关于谁将是不列颠哥伦比亚省高需要,高成本的患者的预测吗?

Logan Trenaman1,2, Daphne Guh3, Stirling Bryan4

  • 1Department of Health Systems and Population Health, School of Public Health, University of Washington, 3980 15th Ave NE, Fourth Floor, Box 351621, Seattle, WA, 98195, USA. trenaman@uw.edu.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
|July 9, 2025
PubMed
概括

准确预测高需要,高成本 (HNHC) 患者至关重要. 患者报告的数据显著增强了预测模型,改善了对医疗保健成本最高的个体的识别.

关键词:
行政数据 管理数据医疗保健成本 医疗保健成本高需要的高成本的高成本.机器学习是机器学习.以患者为导向的研究.患者报告的数据预测模型是一个预测模型.

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