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An mHealth application for female fertility assistance

机译:移动医疗保健申请女性生育援助

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The paper presents an mHealth solution aimed at assisting the communication, medical procedures and decision making of patients and specialists in the field of fertility and female health as a general. The solution consists of server-side cloud-based services (fHealth services) and two client-side Android applications - for patients (fHealth Patient App) and for medical personnel (fHealth Doctor App). The server-side is implemented on several Virtual Machines with load balancer and includes two data storage components - NoSQL for internal application data (e.g. user profiles, messages, events, etc.) and time-series for sensor data and continuous measurements. A use-case for ovulation detection from collected body temperature measurements in the field of female fertility is proposed. The use-case discuss the use of data mining techniques for pattern extraction from data series with low accuracy measurements and data gaps.
机译:本文提出了一种mHealth解决方案,旨在协助生育和女性健康领域的患者和专家进行沟通,医疗程序和决策。该解决方案包括服务器端基于云的服务(fHealth服务)和两个客户端Android应用程序-用于患者(fHealth Patient App)和医务人员(fHealth Doctor App)。服务器端在具有负载均衡器的多个虚拟机上实现,并包括两个数据存储组件-用于内部应用程序数据(例如用户配置文件,消息,事件等)的NoSQL,以及用于传感器数据和连续测量的时间序列。提出了从女性生育力领域中收集的体温测量值检测排卵的用例。该用例讨论了如何使用数据挖掘技术从具有低精度测量和数据缺口的数据序列中提取模式。

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