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Decisional Support System with Artificial Intelligence oriented on Health Prediction using a Wearable Device and Big Data

机译:基于可穿戴设备和大数据的基于健康预测的人工智能决策支持系统

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The proposed work describes a decision support system (DSS) based on artificial intelligence algorithms and health wearable sensors predicting health status. The discussion is mainly focused on the description of the innovative architecture of the prototype platform related to a research industry project. The platform is able to control different wearable sensors storing data into a Cassandra Big Data system. Support Vector machine (SVM) and Long Short Term Memory (LSTM) algorithms have been applied to experimental datasets, proving the basic function of physiological data prediction. The work is suitable for the implementation of multi-dimensional risk map of health status.
机译:拟议的工作描述了基于人工智能算法和可预测健康状况的健康可穿戴传感器的决策支持系统(DSS)。讨论主要集中在与研究行业项目相关的原型平台的创新架构的描述上。该平台能够控制将数据存储到Cassandra Big Data系统中的各种可穿戴传感器。支持向量机(SVM)和长期短期记忆(LSTM)算法已应用于实验数据集,证明了生理数据预测的基本功能。该工作适合于实施健康状况的多维风险图。

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