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Additional file 1: of Electronic health records accurately predict renal replacement therapy in acute kidney injury

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NIAID Data Ecosystem2026-03-10 收录
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https://figshare.com/articles/dataset/Additional_file_1_of_Electronic_health_records_accurately_predict_renal_replacement_therapy_in_acute_kidney_injury/7659512
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Table S1. Table on acute disease categorisation. Patients’ acute disease diagnosis codes were based on ICD-9-CM (International Classification of Diseases, Ninth Revision, Clinical Modification) up till 2015, and SNOMED-CT (Systematized Nomenclature of Medicine - Clinical Terms) after 2015. We classified these diagnoses into 8 categories as shown in the table. These acute diseases were not mutually exclusive, and each patient may have one or more acute illnesses during the index hospitalization. (XLSX 11 kb)
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2019-02-01
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