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Architecture and implementation of a smart-pregnancy monitoring system using web-based application

机译:使用基于Web的应用程序的智能怀孕监控系统的体系结构和实现

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摘要

Today, people use web-based technologies to meet their information needs, socialise, communicate, and deal with formal and informal processes. At the same time, mobile versions of these applications provide people with great convenience in daily life. These applications include blood-pressure monitors, blood-glucose monitors, body-analysis scales, pulse oximeters, and activity and sleep trackers. Many of these products sync directly with a free mobile app that makes monitoring, viewing, storing, and sharing of health vitals simple and comprehensive. The data collected from the user is stored in a cloud-based application, then trained by intelligent algorithms that use machine learning for health aims so that the user can instantly see his or her status and development. In this study, the aim was to construct a cloud-based application specific to women for monitoring pregnancy. In the web-based application working with membership logic, members can access machine learning assisted calculators of the baby percentile, period tracker, pregnancy calendar, and baby vaccination schedule. Moreover, they can access augmented/virtual-reality-assisted visual training.
机译:如今,人们使用基于Web的技术来满足他们的信息需求,进行社交,沟通以及处理正式和非正式流程。同时,这些应用程序的移动版本为人们的日常生活提供了极大的便利。这些应用包括血压监测仪,血糖监测仪,人体分析秤,脉搏血氧仪以及活动和睡眠追踪器。其中许多产品直接与免费的移动应用程序同步,从而使监视,查看,存储和共享健康要素变得简单而全面。从用户收集的数据存储在基于云的应用程序中,然后通过将机器学习用于健康目标的智能算法进行训练,以便用户可以立即查看其状态和发展。在这项研究中,目标是构建一个特定于女性的基于云的应用程序以监控怀孕。在使用成员资格逻辑的基于Web的应用程序中,成员可以访问机器学习辅助的婴儿百分位数,时期跟踪器,怀孕日历和婴儿接种时间表的计算器。此外,他们可以访问增强/虚拟现实辅助的视觉训练。

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