2020年3月4月北京急诊分诊前瞻数据集。所采集急诊分诊数据为急诊分级为III（紧急）/IV（非紧急）的患者数据，采集时间为2020年3月1日至2020年4月31日，共计16755例。其中随机选择30天数据作为实验组。实验组数据为7916例，对照组数据为8839例。所包含的重要特征包括：分诊级别、是否误分、年龄、性别、舒张压、收缩压、心率、指氧、意识状态、患者来源、分诊日期、分诊时间共12种特征，

国家人口健康科学数据中心100

HipAAsynth/synthetic-chest-pain-diagnostic

胸痛诊断

急诊分诊

--- license: cc-by-nc-4.0 task_categories: - tabular-classification - tabular-regression tags: - synthetic - healthcare - EHR - deterministic - hipaasynth - chest-pain - diagnostic

Hugging Face2026-03-27 更新40

Development and validation of a sepsis prediction model based on structured electronic medical records in emergency triage

脓毒症预测

急诊分诊

To develop and verify a sepsis prediction model based on structured electronic medical records(sEMR) in an emergency triage to explore the effect evaluation of early sepsis screening by using availabl

DataCite Commons2024-07-02 更新120

Over-triage occurs when considering the patient's pain in Korean Triage and Acuity Scale

急诊分诊

疼痛评估

This data was collected for the study of the accuracy of KTAS, a severity classification tool for emergency patients. The severity of the pain is one of the modifier of KTAS. The aim of this study was

DataCite Commons2020-08-28 更新90

CTAS classification for HF/dyspnea.

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