A Self-Learning Autonomous and Intelligent System for the Reduction of Medication Errors in Home Treatments

被引：2

作者：

Donnici, Rosamaria ^{[1
]}

Coronato, Antonio ^{[1
]}

Naeem, Muddasar ^{[1
]}

机构：

[1] ICAR CNR, Naples, Italy

来源：

INTELLIGENT ENVIRONMENTS 2021 | 2021年 / 29卷

关键词：

Artificial intelligence; Reinforcement Learning; Autonomous Systems; Deep Learning; Internet of Things; Healthcare; INTERNET; THINGS; NETWORKS; HEALTH;

D O I：

10.3233/AISE210093

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The treatment process at home after hospitalization may become challenging for elders and people having any physical or cognitive disability. Such patients can, nowadays, be supported by Autonomous and Intelligent Monitoring Systems (AIMSs) that may get new levels of functionalities thanks to technologies like Reinforcement Learning, Deep Learning and Internet of Things. We present an AIMS that can assist impaired patients in taking medicines in accordance with their treatment plans. The demonstration of the AIMS via mobile app shows promising results and can improve the quality of healthcare at home.

引用

页码：156 / 166

页数：11

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