随访系统高血压患者调试数据集

本数据集聚焦高血压慢病管理全流程，包含患者基本信息、血压测量、心率、生化检验、用药情况及生活方式六大维度原始随访数据，具体覆盖年龄、性别、BMI、收缩压、舒张压、血糖、血脂、肾功能、降压药物、取药依从率、漏服天数、运动、饮食、吸烟、饮酒等核心指标。数据集依托《中国高血压防治指南 2018》《2023 ESH 高血压管理指南》及改良 Framingham 心血管风险评分体系完成标准化加工，形成血压分级、血压控制达标评估、BMI 指数、心血管风险分层、综合风险评分、用药依从性评估、生活方式评分、生活方式评价、个体化随访建议9 项临床决策支持字段，可直接为高血压患者风险评估、用药管理、生活方式干预及慢病随访智能化管理提供数据支撑。

This dataset centers on the entire workflow of hypertension chronic disease management, encompassing raw follow-up data across six core dimensions: patient basic information, blood pressure measurements, heart rate, biochemical test results, medication usage, and lifestyle. Specifically, it includes key indicators such as age, gender, BMI, systolic blood pressure, diastolic blood pressure, blood glucose, blood lipids, renal function, antihypertensive medications, medication adherence rate, days of missed doses, exercise habits, diet, smoking status, and alcohol consumption. The dataset underwent standardized processing based on the 2018 Chinese Guidelines for the Prevention and Treatment of Hypertension, 2023 ESH Guidelines for the Management of Arterial Hypertension, and the modified Framingham cardiovascular risk scoring system, resulting in 9 clinical decision-support fields: blood pressure classification, blood pressure control target assessment, BMI index, cardiovascular risk stratification, comprehensive risk score, medication adherence assessment, lifestyle score, lifestyle evaluation, and individualized follow-up recommendations. This dataset can directly provide data support for hypertension patient risk assessment, medication management, lifestyle intervention, and intelligent chronic disease follow-up management.

搜集汇总

背景与挑战

背景概述

该数据集专注于高血压慢病管理全流程，包含120条随访记录，涵盖患者基本信息、血压、生化检验、用药及生活方式等六大维度原始数据，并基于医学指南衍生出血压分级、心血管风险分层、用药依从性评估等9项临床决策支持字段。数据集支持高血压患者风险评估、用药管理、生活方式干预及智能化随访，广泛应用于慢病管理、临床辅助决策和公共卫生研究等场景。