{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:40:46Z","timestamp":1775144446495,"version":"3.50.1"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031486418","type":"print"},{"value":"9783031486425","type":"electronic"}],"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\/978-3-031-48642-5_21","type":"book-chapter","created":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T09:02:16Z","timestamp":1700902936000},"page":"217-228","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Clustering ABI Patients for a Customized Rehabilitation Process"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8071-9845","authenticated-orcid":false,"given":"Alejandro","family":"Moya","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6505-614X","authenticated-orcid":false,"given":"Luis","family":"Zhinin-Vera","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9496-6890","authenticated-orcid":false,"given":"Elena","family":"Navarro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8815-9643","authenticated-orcid":false,"given":"Javier","family":"Jaen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4121-6169","authenticated-orcid":false,"given":"Jos\u00e9","family":"Machado","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,26]]},"reference":[{"key":"21_CR1","unstructured":"ADACE CLM: ADACE - Association of ABI of Castilla - La Mancha. https:\/\/www.adaceclm.org\/"},{"issue":"5","key":"21_CR2","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1227\/NEU.0000000000000105","volume":"73","author":"OJ Choudhry","year":"2013","unstructured":"Choudhry, O.J., Prestigiacomo, C.J., Gala, N., Slasky, S., Sifri, Z.C.: Delayed neurological deterioration after mild head injury: cause, temporal course, and outcomes. Neurosurgery 73(5), 753\u2013760 (2013)","journal-title":"Neurosurgery"},{"key":"21_CR3","unstructured":"Desgraupes, B.: Clustering indices (2017)"},{"key":"21_CR4","unstructured":"FITBIR: Federal Interagency Traumatic Brain Injury Research (FITBIR). https:\/\/fitbir.nih.gov\/"},{"key":"21_CR5","unstructured":"FITBIR: Transforming Re-search and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) \u2013 Adult. https:\/\/fitbir.nih.gov\/portal\/study\/viewStudyAction!view.action?studyId=FITBIR-STUDY0000267"},{"key":"21_CR6","doi-asserted-by":"publisher","unstructured":"Fred, A.: Finding consistent clusters in data partitions. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol. 2096, pp. 309\u2013318. Springer, Heidelberg (2001). https:\/\/doi.org\/10.1007\/3-540-48219-9_31","DOI":"10.1007\/3-540-48219-9_31"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Lenrow, D.A.: Physical medicine and rehabilitation: an update for internists. Med. Clin. North Am. 104(2), xvii\u2013xviii (2020)","DOI":"10.1016\/j.mcna.2019.11.006"},{"key":"21_CR8","doi-asserted-by":"crossref","unstructured":"Liu, Y., Li, Z., Xiong, H., Gao, X., Wu, J.: Understanding of internal clustering validation measures. In: 2010 IEEE International Conference on Data Mining, pp. 911\u2013916. IEEE (2010)","DOI":"10.1109\/ICDM.2010.35"},{"issue":"1","key":"21_CR9","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1016\/j.compedu.2010.12.008","volume":"57","author":"F Montero","year":"2011","unstructured":"Montero, F., L\u00f3pez-Jaquero, V., Navarro, E., S\u00e1nchez, E.: Computer-aided relearning activity patterns for people with acquired brain injury. Comput. Educ. 57(1), 1149\u20131159 (2011)","journal-title":"Comput. Educ."},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Moya, A., Navarro, E., Ja\u00e9n, J., L\u00f3pez-Jaquero, V., Capilla, R.: Exploiting variability in the design of genetic algorithms to generate telerehabilitation activities. Appl. Soft Comput., 108441 (2022)","DOI":"10.1016\/j.asoc.2022.108441"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Moya, A., Pretel, E., Navarro, E., Ja\u00e9n, J.: A systematic literature review of clustering techniques for patients with traumatic brain injury. Artif. Intell. Rev. (2023)","DOI":"10.1007\/s10462-023-10531-2"},{"issue":"1","key":"21_CR12","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1146\/annurev.clinpsy.121208.131413","volume":"6","author":"DS Nagin","year":"2010","unstructured":"Nagin, D.S., Odgers, C.L.: Group-based trajectory modeling in clinical research. Annu. Rev. Clin. Psychol. 6(1), 109\u2013138 (2010)","journal-title":"Annu. Rev. Clin. Psychol."},{"key":"21_CR13","unstructured":"Network, T.A.: Definition of ABI. http:\/\/www.abinetwork.ca\/definition"},{"issue":"4","key":"21_CR14","doi-asserted-by":"publisher","first-page":"2765","DOI":"10.1007\/s10462-020-09913-7","volume":"54","author":"TR Neubauer","year":"2021","unstructured":"Neubauer, T.R., Peres, S.M., Fantinato, M., Lu, X., Reijers, H.A.: Interactive clustering: a scoping review. Artif. Intell. Rev. 54(4), 2765\u20132826 (2021)","journal-title":"Artif. Intell. Rev."},{"key":"21_CR15","doi-asserted-by":"publisher","unstructured":"Parimbelli, E., Marini, S., Sacchi, L., Bellazzi, R.: Patient similarity for precision medicine: a systematic review (2018). https:\/\/doi.org\/10.1016\/j.jbi.2018.06.001","DOI":"10.1016\/j.jbi.2018.06.001"},{"key":"21_CR16","doi-asserted-by":"crossref","unstructured":"Podell, J., et al.: Rapid prediction of secondary neurologic decline after traumatic brain injury: a data analytic approach. Sci. Rep. 13(1), 403 (2023)","DOI":"10.1038\/s41598-022-26318-4"},{"key":"21_CR17","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1016\/j.neucom.2017.06.053","volume":"267","author":"A Saxena","year":"2017","unstructured":"Saxena, A., et al.: A review of clustering techniques and developments. Neurocomputing 267, 664\u2013681 (2017)","journal-title":"Neurocomputing"},{"key":"21_CR18","first-page":"583","volume":"3","author":"A Strehl","year":"2002","unstructured":"Strehl, A., Ghosh, J.: Cluster ensembles-a knowledge reuse framework for combining multiple partitions. J. Mach. Learn. Res. 3, 583\u2013617 (2002)","journal-title":"J. Mach. Learn. Res."},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Trisuciana, F.M., Witarsyah, D., Sutoyo, E., Machado, J.M.: Clustering of COVID-19 vaccination recipients in DKI Jakarta using the K-medoids algorithm. In: 2022 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS), pp. 01\u201307. IEEE (2022)","DOI":"10.1109\/ICADEIS56544.2022.10037509"},{"key":"21_CR20","unstructured":"UN: Convention on the rights of persons with disabilities (2022)"},{"issue":"8","key":"21_CR21","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1089\/neu.1998.15.573","volume":"15","author":"JT Wilson","year":"1998","unstructured":"Wilson, J.T., Pettigrew, L.E., Teasdale, G.M.: Structured interviews for the Glasgow outcome scale and the extended Glasgow outcome scale: guidelines for their use. J. Neurotrauma 15(8), 573\u2013585 (1998)","journal-title":"J. Neurotrauma"},{"key":"21_CR22","doi-asserted-by":"crossref","unstructured":"Wu, J., Song, C.-H., Kong, J.M., Lee, W.D.: Extended mean field annealing for clustering incomplete data. In: 2007 International Symposium on Information Technology Convergence (ISITC 2007), pp. 8\u201312. IEEE (2007)","DOI":"10.1109\/ISITC.2007.30"},{"key":"21_CR23","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1016\/j.compeleceng.2018.05.005","volume":"68","author":"X Wu","year":"2018","unstructured":"Wu, X., Ma, T., Cao, J., Tian, Y., Alabdulkarim, A.: A comparative study of clustering ensemble algorithms. Comput. Electr. Eng. 68, 603\u2013615 (2018)","journal-title":"Comput. Electr. Eng."}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of the 15th International Conference on Ubiquitous Computing &amp; Ambient Intelligence (UCAmI 2023)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-48642-5_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T09:14:59Z","timestamp":1700903699000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-48642-5_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031486418","9783031486425"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-48642-5_21","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 November 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UCAmI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Ubiquitous Computing and Ambient Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Riviera Maya","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","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 November 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ucami2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ucami.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}