Leave-one-subject-out (LOSO) cross-validation results for the CDS recognition system.

Figshare2020-11-25 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Leave-one-subject-out_LOSO_cross-validation_results_for_the_CDS_recognition_system_/13288310 数据链接链接失效反馈

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资源简介：

Leave-one-subject-out (LOSO) cross-validation results for the CDS recognition system.

创建时间：

2020-11-25

Table2_PAnno: A pharmacogenomics annotation tool for clinical genomic testing.XLSX

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This is the web tool that we designed and studied in this project, and which was implemented in our triage center. This is based on the protocol which has also been linked and is in PDF form as a flow

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Objectives: Developing and validating interpretable machine learning (ML) models for predicting whether triaged patients need to be admitted to the intensive care unit (ICU). Measures: Th

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该数据集老年疾病多重药品风险模型库，依托已建成的老年多病共患智能化合理用药数据库，采用规则引擎技术开发老年多重用药临床决策支持技术，对单或多病共患药品处方进行智能化分析，包括：配伍禁忌、重复用药、剂量剂型偏离、药品对疾病与老年人的禁忌等。开发老年合理用药评估与咨询信息化平台,可以对输入的每个处方进行合理用药自动化评估，并给出提示和预警；也可以对本单位/区域内所有处方的合理性进行统计分析，给出老年合

国家人口健康科学数据中心10

Leave-one-subject-out (LOSO) cross-validation results for the CDS recognition system.

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