Current Quality Registries Lack the Accurate Data Needed to Perform Adequate Reliability Adjustments

Hofer Ira S.; Le Manach Yannick; Cannesson Maxime

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Current Quality Registries Lack the Accurate Data Needed to Perform Adequate Reliability Adjustments

机译：当前的质量注册中心缺少执行足够的可靠性调整所需的准确数据

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《Anesthesiology》 |2016年第2期|共3页
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Hofer Ira S.; Le Manach Yannick; Cannesson Maxime;
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中图分类麻醉学;
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入库时间 2022-08-18 10:04:34

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1. Current Quality Registries Lack the Accurate Data Needed to Perform Adequate Reliability Adjustments [J] . Hofer Ira S., Le Manach Yannick, Cannesson Maxime Anesthesiology . 2016,第2期

机译：当前的质量注册中心缺少执行足够的可靠性调整所需的准确数据
2. Comorbidity Structure of Psychological Disorders in the Online e-PASS Data as Predictors of Psychosocial Adjustment Measures: Psychological Distress, Adequate Social Support, Self-Confidence, Quality of Life, and Suicidal Ideation [J] . Ali M AL-Asadi, Britt Klein, Denny Meyer Journal of medical Internet research . 2014,第10期

机译：在线e-PASS数据中心理障碍的合并症结构，作为心理社会适应措施的预测指标：心理困扰，足够的社会支持，自信心，生活质量和自杀观念
3. Quality-adjusted life years in glioma patients: a systematic review on currently available data and the lack of evidence-based utilities [J] . Vicki Marie Butenschoen, Anna Kelm, Bernhard Meyer, Journal of neuro-oncology. . 2019,第1期

机译：胶质瘤患者的质量调整寿命岁月：对目前可用数据的系统审查和缺乏基于证据的公用事业
4. An Efficient Method of Data Quality Evaluation Using Metadata Registry [C] . Choi O-Hoon, Lim Jung-Eun, Na Hong-Seok, International Conference on Advanced Software Engineering Its Applications . 2008

机译：使用元数据注册表的数据质量评估有效方法
5. Supervised precision ordinal clustering – A human-machine learning algorithm to create accurate clusters in big datasets: Application to indiana water quality data with novel visualization techniques [D] . Singh, Sarabjit 2014

机译：有监督的有序序数聚类–一种人机学习算法，可在大型数据集中创建准确的聚类：采用新颖的可视化技术应用于印第安纳州水质数据
6. Data quality audit of a clinical quality registry: a generic framework and case study of the Australian and New Zealand Hip Fracture Registry [O] . Aidan Christopher Tan, Elizabeth Armstrong, Jacqueline Close, 2019

机译：临床质量注册中心的数据质量审计：澳大利亚和新西兰髋关节骨折注册中心的通用框架和案例研究
7. Comorbidity of psychological disorders in the e-PASS data as predictors of psycho-social adjustment measures: psychological distress, adequate social support, self-confidence, quality of life, and suicidal ideation [O] . Al-Asadi, Ali M., Klein, Britt, Meyer, Denny 2014

机译：e-pass数据中心理障碍的共病作为心理社会调整措施的预测因素：心理困扰，充分的社会支持，自信，生活质量和自杀意念

Current Quality Registries Lack the Accurate Data Needed to Perform Adequate Reliability Adjustments

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