{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T04:59:17Z","timestamp":1743051557218,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030499068"},{"type":"electronic","value":"9783030499075"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-49907-5_28","type":"book-chapter","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:25:10Z","timestamp":1594340710000},"page":"390-405","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Choosing the Most Suitable Classifier for Supporting Assistive Technology Adoption in People with Parkinson\u2019s Disease: A Fuzzy Multi-criteria Approach"],"prefix":"10.1007","author":[{"given":"Miguel","family":"Ort\u00edz-Barrios","sequence":"first","affiliation":[]},{"given":"Ian","family":"Cleland","sequence":"additional","affiliation":[]},{"given":"Mark","family":"Donnelly","sequence":"additional","affiliation":[]},{"given":"Jonathan","family":"Greer","sequence":"additional","affiliation":[]},{"given":"Antonella","family":"Petrillo","sequence":"additional","affiliation":[]},{"given":"Zaury","family":"Fern\u00e1ndez-Mendoza","sequence":"additional","affiliation":[]},{"given":"Natalia","family":"Jaramillo-Rueda","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"28_CR1","unstructured":"The World Health Organisation, \u201cGlobal Health Observatory (GHO) data\u201d. https:\/\/www.who.int\/gho\/mortality_burden_disease\/life_tables\/situation_trends_text\/en\/. Accessed 10 Mar 2020"},{"key":"28_CR2","unstructured":"The World Health Organisation: The world health report 2002: reducing risks, promoting healthy life. 1st edn. World Health Organisation, Geneva (2002)"},{"key":"28_CR3","unstructured":"NHS Inform: Parkinsons disease in Illnesses, conditions and disorders of the nerves and central nervous system. https:\/\/www.nhsinform.scot\/illnesses-and-conditions\/brain-nerves-and-spinal-cord\/parkinsons-disease. Accessed 10 Mar 2020"},{"issue":"137","key":"28_CR4","first-page":"1","volume":"16","author":"EJ Cook","year":"2016","unstructured":"Cook, E.J., et al.: Exploring the factors that influence the decision to adopt and engage with an integrated assistive telehealth and telecare service in Cambridgeshire, UK: a nested qualitative study of patient \u2018users\u2019 and \u2018non-users\u2019. BMC Health Serv. Res. 16(137), 1\u201320 (2016)","journal-title":"BMC Health Serv. Res."},{"issue":"1\u20132","key":"28_CR5","first-page":"20","volume":"27","author":"M Ortiz-Barrios","year":"2019","unstructured":"Ortiz-Barrios, M., Nugent, C., Cleland, I., Donnelly, M., Verikas, A.: Selecting the most suitable classification algorithm for supporting assistive technology adoption for people with dementia: a multicriteria framework. J. Multi-Criteria Decis. Anal. 27(1\u20132), 20\u201338 (2019)","journal-title":"J. Multi-Criteria Decis. Anal."},{"issue":"Suppl 1","key":"28_CR6","doi-asserted-by":"publisher","first-page":"S85","DOI":"10.3233\/JPD-181519","volume":"8","author":"J Klucken","year":"2018","unstructured":"Klucken, J., Kr\u00fcger, R., Schmidt, P., Bloem, B.R.: Management of Parkinson\u2019s disease 20 years from now: towards digital health pathways. J. Parkinson\u2019s Dis. 8(Suppl 1), S85\u2013S94 (2018)","journal-title":"J. Parkinson\u2019s Dis."},{"issue":"Suppl 1","key":"28_CR7","doi-asserted-by":"crossref","first-page":"S41","DOI":"10.3233\/JPD-181498","volume":"8","author":"C Hansen","year":"2018","unstructured":"Hansen, C., Sanchez-Ferro, A., Maetzler, W.: How mobile health technology and electronic health records will change care of patients with Parkinson\u2019s disease. J. Parkinson\u2019s Dis. 8(Suppl 1), S41\u2013S45 (2018)","journal-title":"J. Parkinson\u2019s Dis."},{"key":"28_CR8","unstructured":"Marxreiter, F., et al.: The use of digital technology and media in German Parkinson\u2019s disease patients. J. Parkinson\u2019s Dis. pp. 1\u201311 (2019, in press)"},{"issue":"5","key":"28_CR9","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1002\/mds.27671","volume":"34","author":"AJ Espay","year":"2019","unstructured":"Espay, A.J., et al.: A roadmap for implementation of patient-centered digital outcome measures in Parkinson\u2019s disease obtained using mobile health technologies. Mov. Disord. 34(5), 657\u2013663 (2019)","journal-title":"Mov. Disord."},{"issue":"6","key":"28_CR10","first-page":"566","volume":"14","author":"A Amini","year":"2019","unstructured":"Amini, A., Banitsas, K., Young, W.R.: Kinect4FOG: monitoring and improving mobility in people with Parkinson\u2019s using a novel system incorporating the Microsoft Kinect v2. Disabil. Rehabil.: Assist. Technol. 14(6), 566\u2013573 (2019)","journal-title":"Disabil. Rehabil.: Assist. Technol."},{"issue":"3","key":"28_CR11","doi-asserted-by":"crossref","first-page":"269","DOI":"10.3233\/THC-2009-0547","volume":"17","author":"LM Cunningham","year":"2009","unstructured":"Cunningham, L.M., Nugent, C.D., Finlay, D.D., Moore, G., Craig, D.: A review of assistive technologies for people with Parkinson\u2019s disease. Technol. Health Care 17(3), 269\u2013279 (2009)","journal-title":"Technol. Health Care"},{"key":"28_CR12","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.jbi.2016.08.021","volume":"63","author":"P Chaurasia","year":"2016","unstructured":"Chaurasia, P., et al.: Modelling assistive technology adoption for people with dementia. J. Biomed. Inform. 63, 235\u2013248 (2016)","journal-title":"J. Biomed. Inform."},{"issue":"3\u20134","key":"28_CR13","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1504\/IJRAM.2015.071222","volume":"18","author":"AF Guneri","year":"2015","unstructured":"Guneri, A.F., Gul, M., Ozgurler, S.: A fuzzy AHP methodology for selection of risk assessment methods in occupational safety. Int. J. Risk Assess. Manag. 18(3\u20134), 319\u2013335 (2015)","journal-title":"Int. J. Risk Assess. Manag."},{"issue":"5\u20136","key":"28_CR14","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1002\/mcda.1629","volume":"24","author":"MA Ortiz-Barrios","year":"2017","unstructured":"Ortiz-Barrios, M.A., et al.: The analytic decision-making preference model to evaluate the disaster readiness in emergency departments: the ADT model. J. Multi-Criteria Decis. Anal. 24(5\u20136), 204\u2013226 (2017)","journal-title":"J. Multi-Criteria Decis. Anal."},{"issue":"10","key":"28_CR15","doi-asserted-by":"crossref","first-page":"2187","DOI":"10.1108\/MD-09-2017-0917","volume":"56","author":"MA Ortiz-Barrios","year":"2018","unstructured":"Ortiz-Barrios, M.A., Herrera-Fontalvo, Z., R\u00faa-Mu\u00f1oz, J., Ojeda-Guti\u00e9rrez, S., De Felice, F., Petrillo, A.: An integrated approach to evaluate the risk of adverse events in hospital sector. Manag. Decis. 56(10), 2187\u20132224 (2018)","journal-title":"Manag. Decis."},{"issue":"2","key":"28_CR16","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s40747-018-0087-7","volume":"5","author":"MF Ak","year":"2019","unstructured":"Ak, M.F., Gul, M.: AHP\u2013TOPSIS integration extended with Pythagorean fuzzy sets for information security risk analysis. Complex Intell. Syst. 5(2), 113\u2013126 (2019). https:\/\/doi.org\/10.1007\/s40747-018-0087-7","journal-title":"Complex Intell. Syst."},{"issue":"1","key":"28_CR17","first-page":"1","volume":"3","author":"BM Bot","year":"2016","unstructured":"Bot, B.M., et al.: The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci. Data 3(1), 1\u20139 (2016)","journal-title":"Sci. Data"},{"issue":"2","key":"28_CR18","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1109\/JBHI.2019.2918412","volume":"24","author":"R Ali Hamad","year":"2019","unstructured":"Ali Hamad, R., Salguero, A.G., Bouguelia, M.R., Espinilla, M., Quero, J.M.: Efficient activity recognition in smart homes using delayed fuzzy temporal windows on binary sensors. IEEE J. Biomed. Health Inform. 24(2), 387\u2013395 (2019)","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"28_CR19","doi-asserted-by":"crossref","unstructured":"Greer, J., Cleland, I., McClean, S.: Predicting assistive technology adoption for people with Parkinson\u2019s disease using mobile data from a smartphone. In: 13th Conference on Data Science and knowledge Engineering for Sensing Decision Support FLINS 2018, pp. 1273\u20131280. World Scientific, Belfast (2018)","DOI":"10.1142\/9789813273238_0159"}],"container-title":["Lecture Notes in Computer Science","Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Communication, Organization and Work"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-49907-5_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,10]],"date-time":"2024-07-10T01:13:11Z","timestamp":1720573991000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-49907-5_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030499068","9783030499075"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-49907-5_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"10 July 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","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":"19 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2020.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}