{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T08:56:06Z","timestamp":1785488166826,"version":"3.56.0"},"reference-count":43,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T00:00:00Z","timestamp":1772496000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Spanish State Investigation Agency","award":["PID2022-139957OB-I00"],"award-info":[{"award-number":["PID2022-139957OB-I00"]}]},{"name":"Regional Ministry of Education, Culture, Universities, and Employment of the Valencian Community","award":["CIPROM\/2022\/12"],"award-info":[{"award-number":["CIPROM\/2022\/12"]}]},{"name":"Spanish Center for Technological Development and Innovation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Non-invasive monitoring technologies are increasingly being explored to support cancer care, yet most existing approaches focus on isolated parameters and fail to provide a comprehensive view of patients\u2019 health. This study presents a feasibility evaluation of an IoT-based system designed to detect treatment-related problems in oncology patients through the integration of wearable sensors, physiological measurements, and patient-reported outcomes. A monitoring kit, including a smartwatch, tensiometer, weighing scale, and mobile device, was deployed in a cohort of 26 patients undergoing oncological treatment. Data acquisition followed a structured schedule: continuous physiological recording via the smartwatch, daily blood pressure measurements, weekly weight monitoring, and structured surveys capturing treatment-related side effects. These heterogeneous data were transformed into binary clinical metrics using rule-based feature extraction algorithms, covering conditions such as insomnia, nausea, diarrhea, abdominal pain, headache, weight loss, hypertension, and fever. Clinical specialists labeled the dataset to ensure medical validity. Machine Learning models were then trained to analyze the features and generate alerts for potential treatment complications. The results demonstrate the feasibility of integrating IoT and Artificial Intelligence techniques for continuous, patient-centered monitoring in oncology, paving the way for intelligent decision-support systems that enhance early detection and clinical management.<\/jats:p>","DOI":"10.3390\/s26051579","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T09:45:12Z","timestamp":1772531112000},"page":"1579","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Smart Monitoring for Cancer Treatment: Feasibility Study of an IoT-Based Assessment System"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4158-6557","authenticated-orcid":false,"given":"David","family":"Mart\u00ednez-Pascual","sequence":"first","affiliation":[{"name":"Robotics and Artificial Intelligence Group, Bioengineering Institute, Miguel Hern\u00e1ndez University, 03202 Elche, Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8113-5207","authenticated-orcid":false,"given":"Pablo","family":"Rubira-\u00dabeda","sequence":"additional","affiliation":[{"name":"Innovative Devices for Rehabilitation and Assistance (iDRhA), 03202 Elche, Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3608-1039","authenticated-orcid":false,"given":"Jos\u00e9 M.","family":"Catal\u00e1n","sequence":"additional","affiliation":[{"name":"Robotics and Artificial Intelligence Group, Bioengineering Institute, Miguel Hern\u00e1ndez University, 03202 Elche, Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4482-7635","authenticated-orcid":false,"given":"Andrea","family":"Blanco-Ivorra","sequence":"additional","affiliation":[{"name":"Robotics and Artificial Intelligence Group, Bioengineering Institute, Miguel Hern\u00e1ndez University, 03202 Elche, Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beatriz","family":"Franqueza","sequence":"additional","affiliation":[{"name":"Bienzobas-Atrys, 04001 Almer\u00eda, Almer\u00eda, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabrielle","family":"Derrico","sequence":"additional","affiliation":[{"name":"Bienzobas-Atrys, 04001 Almer\u00eda, Almer\u00eda, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juan A.","family":"Barios","sequence":"additional","affiliation":[{"name":"Hospital de San Juan de Alicante, 03550 Alicante, Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2510-3829","authenticated-orcid":false,"given":"Nicol\u00e1s","family":"Garc\u00eda-Aracil","sequence":"additional","affiliation":[{"name":"Robotics and Artificial Intelligence Group, Bioengineering Institute, Miguel Hern\u00e1ndez University, 03202 Elche, Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,3,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1200\/CCI.17.00147","article-title":"Use of wearable, mobile, and sensor technology in cancer clinical trials","volume":"2","author":"Cox","year":"2018","journal-title":"JCO Clin. 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