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A CNN Based Monitoring System to Minimize Medication Errors during Treatment Process at Home

Conference Paper
Publication Date:
2020
abstract:
The ability of a patient to take correct medicine at right time may be reduced when having visual or auditory impairments. Use of inappropriate drug intake can be dangerous and it is important that the patient takes right drug at schedule time. But it is difficult for the elderly persons and the patients with audio and visual impairments to carry out treatment process independently and correctly. This article presents a Convolutional Neural Network (CNN) based medication monitoring system and this system is a sub component of an intelligent pill reminder system.The goal of the intelligent pill reminder system in general, is to assist patient during treatment process at home and role of the monitoring system in particular, is to minimize medication errors. This system is demonstrated on GUI application with a satisfactory accuracy
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
CNN; Monitoring System; Medication errors; Object detection; Data-set; Deep Learning
List of contributors:
DE PIETRO, Giuseppe; Coronato, Antonio; Paragliola, Giovanni
Authors of the University:
PARAGLIOLA GIOVANNI
Handle:
https://iris.cnr.it/handle/20.500.14243/374713
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Overview

URL

https://doi.org/10.1145/3378184.3378223
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