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Hospital EHR Data — 1,171 Patients 15 Tables

kaggle2026-05-23 更新2026-06-17 收录

健康记录分析

临床机器学习

数据链接：

https://www.kaggle.com/datasets/lucague/hospital-ehr-data-1171-patients-15-tables 数据链接链接失效反馈

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资源简介：

Privacy-safe synthetic electronic health records ready for clinical ML

可用于临床机器学习（Machine Learning, ML）的隐私安全合成电子健康记录

应用场景：

创建时间：

2026-05-23

神经感染性疾病识别

健康记录分析

We developed a machine learning model to identify neuroinfectious diseases (NID) from electronic health record notes. Using 3,000 notes from Mass General Brigham, we trained an XGBoost model on text f

DataCite Commons2025-05-31 更新70

Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data

健康记录分析

自杀风险预测

Statistical learning with a large number of rare binary features is commonly encountered in analyzing electronic health records (EHR) data, especially in the modeling of disease onset with prior medic

Figshare2024-03-07 更新30

Supplementary file 4_Early prediction of ARDS caused by non-pulmonary sepsis based on machine learning algorithms of inflammatory indicators and blood gas parameters.docx

脓毒症并发症预测

临床机器学习

ObjectiveAcute respiratory distress syndrome (ARDS) is a common complication in patients with non-pulmonary sepsis. Early identification and prediction of the occurrence of ARDS in non-pulmonary sepsi

NIAID Data Ecosystem00

SUPPLEMENTARY MATERIAL: EHR-based phenome wide association study in pancreatic cancer

健康记录分析

胰腺癌表型关联研究

Supplementary material for the CRI 2014 submission

Figshare2016-01-18 更新40

Data_Sheet_1_Predicting the recurrence of spontaneous intracerebral hemorrhage using a machine learning model.docx

脑出血研究

临床机器学习

BackgroundRecurrence can worsen conditions and increase mortality in ICH patients. Predicting the recurrence risk and preventing or treating these patients is a rational strategy to improve outcomes p

NIAID Data Ecosystem00

Hospital EHR Data — 1,171 Patients 15 Tables

资源简介：

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