官方服务:
资源简介:
Text-based Longitudinal Data for Predicting Nosocomial Disease Risk as used by CANTRIP.
应用场景:
相关数据集
国药同煤总医院住院结构化文本数据集
该数据为国药同煤总医院在开展临床诊疗服务过程中产生,包含住院病历4类文书:入院记录,首次病程,病程记录,出院记录;保证病人ID、就诊ID在4类文书关联。数据均经合规脱敏处理(含假名化加密、隐私属性删除、年龄/时间信息泛化等),保留主诉、现病史、既往史、婚育史、个人史、家族史、体格检查、专科情况、病历内容、手术经过、出院诊断、诊疗经过、目前情况、出院建议等完整有效元数据,可用于生成式人工智能大模型的
北京国际大数据交易所170
Additional file 1 of Using electronic consultation (eConsult) to identify frailty in provider-to-provider communication: a feasibility and validation study
Additional file 1: Supplemental Methods: a description of the methods for patient and public involvement, clinician-led review of frailty related content on eConsult, and phase 1-2 of developing a fra
Figshare2023-04-13 更新70
Gut Microbiota Predictors of Vancomycin-Resistant-Enterococcus Acquisition
An analysis of the gut microbiota of patients who did and did not acquire VRE during hospitalization in an effort to determine if there are gut microbiota predictors of VRE acquisition.
NIAID Data Ecosystem50
CodiEsp Silver Standard: Participant predictions in eHealth CLEF2020 - Spanish clinical cases coded in ICD10 (CIE10)
Introduction Predictions in the background set of eHealth CLEF 2020 Task 1 participants. Zip structure One directory per CodiEsp subtask. Within each CodiEsp subtask directory, there is one
NIAID Data Ecosystem90
VisitNoteChinese
Visit summary, originally in ChineseThis dataset support the manuscript "WAHDA: a Data Source to Promote the Impact of Checkup in Better Quality of Care", submitted to Scientific Data
Figshare2019-07-10 更新60



