{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T19:47:56Z","timestamp":1742932076625,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031441455"},{"type":"electronic","value":"9783031441462"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-44146-2_14","type":"book-chapter","created":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T09:02:22Z","timestamp":1695373342000},"page":"134-140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Artificial Intelligence and Internet of Medical Things for Medical Decision Support Systems: Comparative Analysis"],"prefix":"10.1007","author":[{"given":"Asma","family":"Merabet","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3790-2262","authenticated-orcid":false,"given":"Asma","family":"Saighi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2459-3213","authenticated-orcid":false,"given":"Zakaria","family":"Laboudi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,23]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","unstructured":"Merabet, A., Ferradji, M.A.: Smart virtual environment to support collaborative medical diagnosis. In: 2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS), pp. 1\u20136. IEEE (2022)","DOI":"10.1109\/PAIS56586.2022.9946910"},{"key":"14_CR2","doi-asserted-by":"crossref","unstructured":"Bernelin, M., Desmoulin-Canselier, S.: Chapitre 2. L\u2019intelligibilitedes algorithmes dans les systemes d\u2019aide a\u2018 la decision medicale. Journal international de bioethique et dethique des sciences 32(2), 19\u201331(2021)","DOI":"10.3917\/jibes.322.0019"},{"issue":"2","key":"14_CR3","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1080\/13645706.2019.1575882","volume":"28","author":"Y Mintz","year":"2019","unstructured":"Mintz, Y., Brodie, R.: Introduction to artificial intelligence in medicine. Minimally Invasive Therapy All. Technol. 28(2), 73\u201381 (2019)","journal-title":"Minimally Invasive Therapy All. Technol."},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"VivekKaulMD, FASGE1SarahEnslinPA-C1Seth A.GrossMD, FASGE, History of artificial intelligence in medicine, pp. 807\u2013812 (2020)","DOI":"10.1016\/j.gie.2020.06.040"},{"key":"14_CR5","unstructured":"Bouaziz, A.: Methodes d\u2019apprentissage interactif pour la classification des messages courts (Doctoral dissertation, Universite Cote d\u2019Azur) (2017)"},{"key":"14_CR6","unstructured":"Henao, G., Anderson, J.: L\u2019intelligence artificielle verte pour automatiser le diagnostic me\u00b4dical avec une faible consommation d\u2019e\u00b4nergie (Doctoral dissertation, Universite\u00b4 Co^te d\u2019Azur) (2021)"},{"key":"14_CR7","first-page":"38","volume":"1","author":"L Mazeau","year":"2018","unstructured":"Mazeau, L.: Intelligence artificielle et responsabilite\u00b4 civile: Le cas des logiciels d\u2019aide a\u2018 la de\u00b4cision en matie\u2018re me\u00b4dicale. Revue pratique de la prospective et de l\u2019innovation 1, 38\u201343 (2018)","journal-title":"Revue pratique de la prospective et de l\u2019innovation"},{"issue":"8","key":"14_CR8","doi-asserted-by":"publisher","first-page":"562","DOI":"10.3390\/bios12080562","volume":"12","author":"P Manickam","year":"2022","unstructured":"Manickam, P., et al.: Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare. Biosensors 12(8), 562 (2022)","journal-title":"Biosensors"},{"key":"14_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2020.101967","volume":"138","author":"K Govindan","year":"2020","unstructured":"Govindan, K., Mina, H., Alavi, B.: A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: a case study of coronavirus disease 2019 (COVID-19). Transp. Res. Part E Logist. Transp. Rev. 138, 101967 (2020)","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"issue":"5","key":"14_CR10","doi-asserted-by":"publisher","first-page":"4160","DOI":"10.1109\/JIOT.2019.2931647","volume":"7","author":"M Abdel-Basset","year":"2019","unstructured":"Abdel-Basset, M., Manogaran, G., Gamal, A., Chang, V.: A novel intelligent medical decision support model based on soft computing and IoT. IEEE Internet Things J. 7(5), 4160\u20134170 (2019)","journal-title":"IEEE Internet Things J."},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Shailaja, K., Seetharamulu, B., Jabbar, M.A.: Machine learning in healthcare: a review. In 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 910\u2013914. IEEE (2018)","DOI":"10.1109\/ICECA.2018.8474918"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Lakshmanaprabu, S. K., Mohanty, S.N., Krishnamoorthy, S., Uthayakumar, J., Shankar, K.: Online clinical decision support system using optimal deep neural networks. Appl. Soft Comput. 81, 105487 (2019)","DOI":"10.1016\/j.asoc.2019.105487"},{"issue":"1","key":"14_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-022-10358-x","volume":"12","author":"S Uddin","year":"2022","unstructured":"Uddin, S., Haque, I., Lu, H., Moni, M.A., Gide, E.: Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction. Sci. Rep. 12(1), 1\u201311 (2022)","journal-title":"Sci. Rep."},{"key":"14_CR14","doi-asserted-by":"crossref","unstructured":"Ogundokun, R. O., Misra, S., Douglas, M., Dama\u0161evi\u010dius, R., Maskeliu\u00afnas, R.: Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks. Future Internet 14(5), 153 (2022)","DOI":"10.3390\/fi14050153"},{"key":"14_CR15","unstructured":"Mekhaldi, R.N., Caulier, P., Chaabane, S., CHRAIBI, A.: Apports de lIntelligence Artificielle \u00e0 la pr\u00e9diction des dur\u00e9es de s\u00e9jours hospitaliers. PFIA, IA sant\u00e9, pp. 1\u20137 (2019)"}],"container-title":["Lecture Notes in Networks and Systems","Novel &amp; Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44146-2_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T09:13:48Z","timestamp":1695374028000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44146-2_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031441455","9783031441462"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44146-2_14","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"23 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NiDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Novel & Intelligent Digital Systems Conferences","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nids2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iis-international.org\/nids2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}