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.
Decisional Support System with Artificial Intelligence oriented on Health Prediction using a Wearable Device and Big Data
Massaro A;
2020-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
