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首页> 外文会议>International Conference on Health Informatics >Towards Providing Full Spectrum Antenatal Health Care in Low and Middle Income Countries
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Towards Providing Full Spectrum Antenatal Health Care in Low and Middle Income Countries

机译：在低收入和中等收入国家提供全谱产前医疗保健

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摘要

The provision of Antenatal Care (ANC) for pregnant women plays a vital role in ensuring infant and maternal health. Limited access to antenatal care in Low and Middle Income Countries (LMIC) results in high Infant and Maternal Mortality Rate (IMR and MMR, respectively). In this work, we propose a cloud-based clinical Decision Support System (DSS) integrated with a wearable health-sensor network for patient self-diagnosis and real time health monitoring. Patient assessment is performed by evaluating the human-input coupled with sensor-generated symptomatic information using a Bayesian network driven DSS. High risk pregnancies can be identified and monitored along with dispensing of consultant advice directly to the patient. Patient and disease incidence data is stored on the cloud for tuning probabilities of the Bayesian network towards improving accuracy of predicting anomalies within the epidemiological context. The system therefore, aims to control IMR and MMR by providing ubiquitous access to ANC in LMICs. A scaled-up implementation of the proposed system can help reduce patient influx at the limited tertiary care centers by referring low-risk cases to primary or secondary care establishments.
机译：为孕妇提供产前护理（ANC）在确保婴儿和产妇健康方面发挥着至关重要的作用。有限的进入低收入和中等收入国家（LMIC）的产前护理导致高婴儿和孕产妇死亡率（IMR和MMR）。在这项工作中，我们提出了一种基于云的临床决策支持系统（DSS），与可穿戴的健康传感器网络集成，用于患者自我诊断和实时健康监测。通过使用贝叶斯网络驱动的DSS评估与传感器生成的症状信息耦合的人的输入来执行患者评估。可以识别和监测高风险妊娠以及直接向患者提供顾问建议。患者和疾病的发病率的数据被存储在云用于朝向改善流行病学背景内预测异常的准确性的贝叶斯网络的调谐概率。因此，系统，旨在通过在LMIC中提供对ANC的无处不在的访问来控制IMR和MMR。所提出的系统的扩大实施可以通过将低风险案例转化为初级或二级护理机构来帮助减少有限三级护理中心的患者流入。

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