{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T18:52:23Z","timestamp":1771786343937,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030615338","type":"print"},{"value":"9783030615345","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-61534-5_5","type":"book-chapter","created":{"date-parts":[[2020,10,20]],"date-time":"2020-10-20T08:04:34Z","timestamp":1603181074000},"page":"49-58","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Multi-agent Architecture for Internet of Medical Things"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1972-5979","authenticated-orcid":false,"given":"Dawid","family":"Po\u0142ap","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9851-4103","authenticated-orcid":false,"given":"Gautam","family":"Srivastava","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9073-5347","authenticated-orcid":false,"given":"Marcin","family":"Wo\u017aniak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,7]]},"reference":[{"issue":"1","key":"5_CR1","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1515\/jaiscr-2018-0003","volume":"8","author":"R Abdulghafor","year":"2018","unstructured":"Abdulghafor, R., Turaev, S., Zeki, A., Abubaker, A.: Nonlinear convergence algorithm: structural properties with doubly stochastic quadratic operators for multi-agent systems. J. Artif. Intell. Soft Comput. Res. 8(1), 49\u201361 (2018)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"38306","DOI":"10.1109\/ACCESS.2019.2906241","volume":"7","author":"MA Albahar","year":"2019","unstructured":"Albahar, M.A.: Skin lesion classification using convolutional neural network with novel regularizer. IEEE Access 7, 38306\u201338313 (2019)","journal-title":"IEEE Access"},{"issue":"1","key":"5_CR3","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1515\/jaiscr-2018-0005","volume":"8","author":"S Alkhazaleh","year":"2018","unstructured":"Alkhazaleh, S., Hazaymeh, A.A.: N-valued refined neutrosophic soft sets and their applications in decision making problems and medical diagnosis. J. Artif. Intell. Soft Comput. Res. 8(1), 79\u201386 (2018)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"3","key":"5_CR4","doi-asserted-by":"publisher","first-page":"184","DOI":"10.18178\/ijmlc.2016.6.3.596","volume":"6","author":"HM Alshamlan","year":"2016","unstructured":"Alshamlan, H.M., Badr, G.H., Alohali, Y.A.: Abc-svm: artificial bee colony and svm method for microarray gene selection and multi class cancer classification. Int. J. Mach. Learn. Comput 6(3), 184 (2016)","journal-title":"Int. J. Mach. Learn. Comput"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Alsubaei, F., Abuhussein, A., Shiva, S.: Security and privacy in the Internet of medical things: taxonomy and risk assessment. In: 2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN Workshops), pp. 112\u2013120. IEEE (2017)","DOI":"10.1109\/LCN.Workshops.2017.72"},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Balestrieri, E., et al.: The architecture of an innovative smart t-shirt based on the Internet of medical things paradigm. In: IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/MeMeA.2019.8802143"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Codella, N.C., et al.: Skin lesion analysis toward melanoma detection: a challenge at the 2017 international symposium on biomedical imaging (isbi), hosted by the international skin imaging collaboration (isic). In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 168\u2013172. IEEE (2018)","DOI":"10.1109\/ISBI.2018.8363547"},{"key":"5_CR8","unstructured":"Dilawar, N., Rizwan, M., Ahmad, F., Akram, S.: Blockchain: securing Internet of medical things (iomt). Int. J. Adv. Compu.t Sci. Appl. 10(1), 82\u201389 (2019)"},{"issue":"7","key":"5_CR9","doi-asserted-by":"publisher","first-page":"1366","DOI":"10.1109\/TKDE.2017.2781227","volume":"30","author":"TTA Dinh","year":"2018","unstructured":"Dinh, T.T.A., Liu, R., Zhang, M., Chen, G., Ooi, B.C., Wang, J.: Untangling blockchain: a data processing view of blockchain systems. IEEE Trans. Knowl. Data Eng. 30(7), 1366\u20131385 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"5_CR10","series-title":"Scalable Computing and Communications","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/978-3-319-58280-1_11","volume-title":"Handbook of Large-Scale Distributed Computing in Smart Healthcare","author":"H Dubey","year":"2017","unstructured":"Dubey, H., et al.: Fog computing in medical Internet-of-Things: architecture, implementation, and applications. In: Khan, S.U., Zomaya, A.Y., Abbas, A. (eds.) Handbook of Large-Scale Distributed Computing in Smart Healthcare. SCC, pp. 281\u2013321. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-58280-1_11"},{"key":"5_CR11","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1201\/9781351030380-7","volume-title":"Med. Big Data Internet Med. Things","author":"H El-Zeheiry","year":"2018","unstructured":"El-Zeheiry, H., Elmogy, M., Elaraby, N., Barakat, S.: Fuzzy c-mean and density-based spatial clustering for internet of things data processing. In: Hassanien, A.E., Dey, N., Borra, S. (eds.) Med. Big Data Internet Med. Things, pp. 161\u2013187. CRC Press, Boca Raton (2018)"},{"key":"5_CR12","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.comnet.2019.04.016","volume":"159","author":"M Elhoseny","year":"2019","unstructured":"Elhoseny, M., Bian, G.B., Lakshmanaprabu, S., Shankar, K., Singh, A.K., Wu, W.: Effective features to classify ovarian cancer data in Internet of medical things. Comput. Netw. 159, 147\u2013156 (2019)","journal-title":"Comput. Netw."},{"key":"5_CR13","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.csbj.2018.06.003","volume":"16","author":"WJ Gordon","year":"2018","unstructured":"Gordon, W.J., Catalini, C.: Blockchain technology for healthcare: facilitating the transition to patient-driven interoperability. Comput. Struct. Biotechn. J. 16, 224\u2013230 (2018)","journal-title":"Comput. Struct. Biotechn. J."},{"key":"5_CR14","doi-asserted-by":"crossref","unstructured":"Lamonaca, F., et al.: An overview on Internet of medical things in blood pressure monitoring. In: IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/MeMeA.2019.8802164"},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Magsi, H., Sodhro, A.H., Chachar, F.A., Abro, S.A.K., Sodhro, G.H., Pirbhulal, S.: Evolution of 5g in Internet of medical things. In: 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), pp. 1\u20137. IEEE (2018)","DOI":"10.1109\/ICOMET.2018.8346428"},{"issue":"2","key":"5_CR16","doi-asserted-by":"publisher","first-page":"81","DOI":"10.2478\/jaiscr-2018-0026","volume":"9","author":"M Mizera","year":"2019","unstructured":"Mizera, M., Nowotarski, P., Byrski, A., Kisiel-Dorohinicki, M.: Fine tuning of agent-based evolutionary computing. J. Artif. Intell. Soft Comput. Res. 9(2), 81\u201397 (2019)","journal-title":"J. Artif. Intell. Soft Comput. Res."},{"issue":"14","key":"5_CR17","first-page":"695","volume":"119","author":"MV Suganthi","year":"2018","unstructured":"Suganthi, M.V., Elavarasi, M.K., Jayachitra, M.J.: Tele-health monitoring system in a rural community through primary health center using Internet of medical things. Int. J. Pure Appl. Math. 119(14), 695\u2013703 (2018)","journal-title":"Int. J. Pure Appl. Math."},{"key":"5_CR18","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.eswa.2018.09.048","volume":"117","author":"H Tang","year":"2019","unstructured":"Tang, H., Shi, Y., Dong, P.: Public blockchain evaluation using entropy and TOPSIS. Expert Syst. Appl. 117, 204\u2013210 (2019)","journal-title":"Expert Syst. Appl."},{"key":"5_CR19","doi-asserted-by":"publisher","first-page":"180161","DOI":"10.1038\/sdata.2018.161","volume":"5","author":"P Tschandl","year":"2018","unstructured":"Tschandl, P., Rosendahl, C., Kittler, H.: The ham10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161 (2018)","journal-title":"Sci. Data"},{"key":"5_CR20","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.dss.2017.12.007","volume":"106","author":"S Walczak","year":"2018","unstructured":"Walczak, S., Velanovich, V.: Improving prognosis and reducing decision regret for pancreatic cancer treatment using artificial neural networks. Decis. Support Syst. 106, 110\u2013118 (2018)","journal-title":"Decis. Support Syst."},{"issue":"8","key":"5_CR21","doi-asserted-by":"publisher","first-page":"163","DOI":"10.3390\/a12080163","volume":"12","author":"A Winnicka","year":"2019","unstructured":"Winnicka, A., Kesik, K.: Idea of using blockchain technique for choosing the best configuration of weights in neural networks. Algorithms 12(8), 163 (2019)","journal-title":"Algorithms"},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.gene.2016.12.016","volume":"604","author":"G Xu","year":"2017","unstructured":"Xu, G., Zhang, M., Zhu, H., Xu, J.: A 15-gene signature for prediction of colon cancer recurrence and prognosis based on SVM. Gene 604, 33\u201340 (2017)","journal-title":"Gene"},{"key":"5_CR23","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1109\/TII.2019.2896965","volume":"15","author":"J Xu","year":"2019","unstructured":"Xu, J., Wang, S., Bhargava, B., Yang, F.: A blockchain-enabled trustless crowd-intelligence ecosystem on mobile edge computing. IEEE Trans. Industr. Inf. 15, 3538\u20133547 (2019)","journal-title":"IEEE Trans. Industr. Inf."},{"issue":"5\u20136","key":"5_CR24","doi-asserted-by":"publisher","first-page":"895","DOI":"10.1007\/s00779-018-1173-y","volume":"22","author":"W Zhang","year":"2018","unstructured":"Zhang, W., Yang, J., Su, H., Kumar, M., Mao, Y.: Medical data fusion algorithm based on Internet of Things. Pers. Ubiquit. Comput. 22(5\u20136), 895\u2013902 (2018). \nhttps:\/\/doi.org\/10.1007\/s00779-018-1173-y","journal-title":"Pers. Ubiquit. Comput."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61534-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,20]],"date-time":"2020-10-20T08:24:32Z","timestamp":1603182272000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-61534-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030615338","9783030615345"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61534-5_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"7 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICAISC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence and Soft Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zakopane","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Poland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icaisc2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icaisc.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}