Maternal Risk App

This dataset comprises detailed records of 76,645 pregnancies collected from multiple healthcare centers, designed to support the development of predictive models for maternal risk stratification. Each row corresponds to one pregnant individual and includes: Demographic Features Age: Maternal age in years. Body Mass Index (BMI):Calculated at first prenatal visit. Obstetric History Gestational Age at Enrollment: Number of weeks since last menstrual period. Parity: Number of prior births beyond 20 weeks. Previous Cesarean Sections and Vaginal Births: Count of each type. History of Preterm Birth or Miscarriage Pre-existing Conditions Chronic hypertension Pre-gestational diabetes Autoimmune disorders Prior preeclampsia or eclampsia Clinical Measurements (First and Third Trimester) Systolic and diastolic blood pressure Hemoglobin (g/dL) Random blood glucose (mg/dL) Urine protein level (dipstick reading) Lifestyle and Family History Smoking status (current/former/never) Alcohol use during pregnancy Family history of gestational diabetes or hypertensive disorders Outcome Label Risk Level: Categorized as “Low,” “Moderate,” or “High” based on composite maternal and fetal outcome criteria (e.g., preeclampsia, preterm delivery, severe hemorrhage) . Potential Applications: Machine Learning: Train classification algorithms to predict risk categories early in pregnancy. Feature Analysis: Identify key predictors of adverse maternal outcomes and quantify their importance. Clinical Decision Support Integrate risk scores into health records for closer monitoring of high-risk cases. Epidemiological Studies Explore links between demographics, lifestyle, and maternal complications. By offering a rich blend of historical, clinical, and demographic variables, this dataset serves as a robust foundation for both data science research and real‑world healthcare applications aimed at improving maternal and neonatal outcomes.

本数据集收录了来自多家医疗中心的76645例妊娠详细记录，旨在支持孕产妇风险分层预测模型的开发。每一行对应一名妊娠个体，包含以下内容：
人口统计学特征（Demographic Features）
年龄（Age）：孕产妇年龄（单位：年）。
体重指数（Body Mass Index, BMI）：首次产前检查时计算所得。
产科病史（Obstetric History）
入院时孕周（Gestational Age at Enrollment）：末次月经以来的周数。
产次（Parity）：既往孕周超过20周的分娩次数。
既往剖宫产与阴道分娩史：两类分娩的次数统计。
早产或流产史（History of Preterm Birth or Miscarriage）
基础疾病史（Pre-existing Conditions）
慢性高血压、孕前糖尿病、自身免疫性疾病、既往子痫前期或子痫。
临床检测指标（Clinical Measurements, First and Third Trimester）
收缩压与舒张压、血红蛋白（单位：g/dL）、随机血糖（单位：mg/dL）、尿蛋白水平（试纸读数）。
生活方式与家族史（Lifestyle and Family History）
吸烟状态（当前/既往/从未）、孕期饮酒情况、妊娠期糖尿病或高血压疾病家族史。
结局标签（Outcome Label）
风险等级（Risk Level）：基于母婴复合结局标准（如子痫前期、早产、严重出血）划分为"低""中""高"三类。
潜在应用（Potential Applications）：
机器学习：训练分类算法以在妊娠早期预测风险等级。
特征分析：识别不良妊娠结局的关键预测因子并量化其重要性。
临床决策支持：将风险评分整合至健康档案中，以对高风险病例实施更密切的监测。
流行病学研究：探究人口统计学特征、生活方式与孕产妇并发症之间的关联。
本数据集涵盖丰富的病史、临床与人口统计学变量，可为数据科学研究及旨在改善母婴结局的现实医疗应用提供坚实的基础。