{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:30:29Z","timestamp":1759336229846},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684048","type":"print"},{"value":"9781643684055","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,6,22]],"date-time":"2023-06-22T00:00:00Z","timestamp":1687392000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,22]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/aise230019","type":"book-chapter","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T11:25:41Z","timestamp":1687519541000},"source":"Crossref","is-referenced-by-count":2,"title":["Cloud-Based Monitoring System for Personalized Home Medication"],"prefix":"10.3233","author":[{"given":"Ahsan","family":"Ismail","sequence":"first","affiliation":[]},{"given":"Mario","family":"Fiorino","sequence":"additional","affiliation":[]},{"given":"Musarat","family":"Abbas","sequence":"additional","affiliation":[]},{"given":"Madiha Haider","family":"Syed","sequence":"additional","affiliation":[]},{"given":"Zaib","family":"Ullah","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Ambient Intelligence and Smart Environments","Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/AISE230019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T23:24:30Z","timestamp":1687562670000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/AISE230019"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,22]]},"ISBN":["9781643684048","9781643684055"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/aise230019","relation":{},"ISSN":["1875-4163","1875-4171"],"issn-type":[{"value":"1875-4163","type":"print"},{"value":"1875-4171","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,22]]}}}