Dataset for Maternal Health Risks Stratification (MHRS) in Tanzania

The dataset is a collection of clinical parameters of pregnant women from Chamwino District in Dodoma region within the Central Zone, Mkuranga District in Pwani region within the Coastal Zone, Meatu District in Simiyu region within Lake Zone, Mbulu District in Manyara region within the Northern Zone and Kilolo District in Iringa region within Southern Highlands. To ensure diversity and the inclusion of underserved communities in the dataset, the studyinitially collected and stratified data from a cohort of at least 8,817 pregnant women attending maternity primary health facilities for over nine months. Following rigorous data cleaning procedures and the exclusion of incomplete records, a final sample of 7,982 participants remained. This dataset was developed to support machine learning applications that stratify maternal health risks in underserved communities across Tanzania. It enables research and development of predictive models to identify high-risk pregnancies, inform timely interventions, and improve maternal and newborn health outcomes. The dataset can also be used for public health research, benchmarking maternal health indicators, and building educational tools for community and clinical settings.本数据集收录了来自坦桑尼亚中央区多多马地区尚维诺区、沿海区普瓦尼地区姆库兰加区、湖区锡米尤地区梅阿图区、北区曼亚拉地区姆布卢区以及南部高地地区伊林加地区基洛洛区的孕妇临床参数。为保障数据集的多样性并纳入服务欠发达社区，本研究最初从至少8817名在基层妇幼保健机构就诊、随访时长超9个月的孕妇队列中采集数据并完成分层处理。经严格的数据清洗流程与不完整记录剔除后，最终保留7982名参与者作为有效样本。 本数据集旨在支撑针对坦桑尼亚各地服务欠发达社区的孕产妇健康风险分层机器学习应用研发。该数据集可用于研发预测模型以识别高危妊娠，为及时临床干预提供依据，并改善孕产妇与新生儿的健康结局。此外，本数据集还可应用于公共卫生研究、孕产妇健康指标基准测算，以及为社区与临床场景构建教育工具。