Bristol, North Somerset, and South Gloucestershire (BNSSG) 'SystemWide' dataset

BNSSG 'SystemWide'数据集是由布里斯托大学和NHS英格兰合作创建的，包含约962,237名去识别化个体的电子健康记录和病理实验室数据。该数据集涵盖了从2019年10月至2022年7月的记录，主要用于分析和预测尿路感染（UTI）的风险。数据集内容包括患者的人口统计信息、生活状况、共病历史、处方记录、医院入院和出院信息以及实验室测试结果。数据集的创建过程涉及严格的数据预处理和质量控制，以确保数据的一致性和适用性。该数据集主要应用于医疗AI领域，旨在通过机器学习模型提高UTI风险评估的准确性和透明度，从而改善临床决策和患者护理。

The BNSSG 'SystemWide' dataset was developed through a collaboration between the University of Bristol and NHS England. It contains de-identified electronic health records and pathology laboratory data from approximately 962,237 individuals. The dataset covers records from October 2019 to July 2022, with its primary purpose being the analysis and prediction of urinary tract infection (UTI) risk. The dataset includes patient demographic information, living conditions, comorbidity history, prescription records, hospital admission and discharge information, as well as laboratory test results. Strict data preprocessing and quality control procedures were implemented during the dataset's creation to ensure data consistency and applicability. Primarily utilized in the medical AI field, this dataset aims to enhance the accuracy and transparency of UTI risk assessment via machine learning models, thereby improving clinical decision-making and patient care.