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- W2787190876 abstract "Identifying important predicative indicators for prognosis is useful since these factors help for understanding diseases and determining treatments for patients. We extracted important factors for prognosis of cerebral infarction from EHR. We analyzed EHR data of 1,697 patients with 1,602 variables using gradient boosting decision tree. Extracted factors include not only well-known factors such as NIHSS but also new factors such as albumin-globulin ratio." @default.
- W2787190876 created "2018-02-23" @default.
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- W2787190876 date "2017-01-01" @default.
- W2787190876 modified "2023-09-23" @default.
- W2787190876 title "Extracting Predictive Indicator for Prognosis of Cerebral Infarction Using Machine Learning Techniques." @default.
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