ロード中...
Identifying High-Cost, High-Risk Patients Using Administrative Databases in Tuscany, Italy
OBJECTIVE: (1) Assessing the performance of the algorithm in terms of sensitivity and positive predictive value, considering General Practitioners' (GPs) judgement as benchmark, and (2) describing adverse events (hospitalisation, death, and health services' consumption) of complex patients...
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出版年: | Biomed Res Int |
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主要な著者: | , , , , , , , |
フォーマット: | Artigo |
言語: | Inglês |
出版事項: |
Hindawi
2017
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主題: | |
オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5523251/ https://ncbi.nlm.nih.gov/pubmed/28770229 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/9569348 |
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