This paper introduces an Artificial Intelligence (AI)-enabled system to assist patients to follow a treatment plan at home. The deep learning model is a Convolutional Neural Network (CNN) classifier that is able to detect a drug even when shown in different orientations. The CNN model is trained for each patient based on his/her prescription medicine schedule. The advantage of the system is the dynamic functionality that makes it a good solution for personalized medication. The GUI demonstrates that the system can assist patients in taking the correct drug and prevent medication errors.
Cloud-Based Monitoring System for Personalized Home Medication / Ismail, Ahsan; Fiorino, Mario; Abbas, Musarat; Syed, Madiha Haider; Ullah, Zaib. - ELETTRONICO. - 32:(2023), pp. 113-124. (Intervento presentato al convegno 19th International Conference on Intelligent Environments tenutosi a Mauritius nel 27 – 30 June 2023) [10.3233/AISE230019].
Cloud-Based Monitoring System for Personalized Home Medication
Fiorino, Mario;
2023
Abstract
This paper introduces an Artificial Intelligence (AI)-enabled system to assist patients to follow a treatment plan at home. The deep learning model is a Convolutional Neural Network (CNN) classifier that is able to detect a drug even when shown in different orientations. The CNN model is trained for each patient based on his/her prescription medicine schedule. The advantage of the system is the dynamic functionality that makes it a good solution for personalized medication. The GUI demonstrates that the system can assist patients in taking the correct drug and prevent medication errors.File | Dimensione | Formato | |
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Descrizione: Paper: Cloud-based Monitoring System for Personalized Home Medication
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https://hdl.handle.net/11583/2982152