{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:22:16Z","timestamp":1742952136619,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031530241"},{"type":"electronic","value":"9783031530258"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-53025-8_40","type":"book-chapter","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T20:02:12Z","timestamp":1706731332000},"page":"591-606","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["GLM\u2019s in\u00a0Data Science as\u00a0a\u00a0Tool in\u00a0the\u00a0Prediction of\u00a0Delirium"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-6661-9258","authenticated-orcid":false,"given":"Alexandra","family":"Coelho","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1991-9418","authenticated-orcid":false,"given":"Ana Cristina","family":"Braga","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3315-3228","authenticated-orcid":false,"given":"Jos\u00e9","family":"Mariz","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,1]]},"reference":[{"issue":"4","key":"40_CR1","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1177\/0891988717710338","volume":"30","author":"D Adamis","year":"2017","unstructured":"Adamis, D., McCarthy, G., O\u2019Mahony, E., Meagher, D.: Motor disturbances in elderly medical inpatients and their relationship to delirium. J. Geriatr. Psychiatry Neurol. 30(4), 214\u2013219 (2017)","journal-title":"J. Geriatr. Psychiatry Neurol."},{"key":"40_CR2","doi-asserted-by":"crossref","unstructured":"Agresti, A.: An introduction to categorical data analysis second edition (2002)","DOI":"10.1002\/0471249688"},{"key":"40_CR3","doi-asserted-by":"crossref","unstructured":"Ali, M.A., Hashmi, M., Ahmed, W., Raza, S.A., Khan, M.F., Salim, B.: Incidence and risk factors of delirium in surgical intensive care unit. Trauma Surg. Acute Care Open 6 (2021)","DOI":"10.1136\/tsaco-2020-000564"},{"issue":"6","key":"40_CR4","doi-asserted-by":"publisher","first-page":"2074","DOI":"10.1093\/ije\/dyaa049","volume":"49","author":"KF Arnold","year":"2020","unstructured":"Arnold, K.F., Davies, V., de Kamps, M., Tennant, P.W., Mbotwa, J., Gilthorpe, M.S.: Reflection on modern methods: generalized linear models for prognosis and intervention-theory, practice and implications for machine learning. Int. J. Epidemiol. 49(6), 2074\u20132082 (2020)","journal-title":"Int. J. Epidemiol."},{"key":"40_CR5","unstructured":"Asken, M.J., Grossman, D., Christensen, L.W.: American Psychiatric Association. Diagnostic and statistical manual of mental disorders. arlington, va: American Psychiatric Publishing, 2013. archibald, herbert c., and read d. tuddenham. \u201cPersistent stress reaction after combat: a 20-year follow-up.\u201d archives of general PSY. Therapy 45(10), 2317\u20132325 (2007)"},{"key":"40_CR6","volume":"84","author":"MT Assefa","year":"2022","unstructured":"Assefa, M.T., Chekol, W.B., Melesse, D.Y., Nigatu, Y.A., Bizuneh, Y.B.: Incidence and risk factors of emergence delirium in elderly patients after general or spinal anesthesia for both elective and emergency surgery. Annal. Med. Surg. 84, 104959 (2022)","journal-title":"Annal. Med. Surg."},{"key":"40_CR7","doi-asserted-by":"crossref","unstructured":"Boateng, E.Y., Abaye, D.A., Boateng, E.Y., Abaye, D.A.: A review of the logistic regression model with emphasis on medical research. J. Data Anal. Inf. Process. 7, 190\u2013207 (2019)","DOI":"10.4236\/jdaip.2019.74012"},{"key":"40_CR8","doi-asserted-by":"crossref","unstructured":"Van den Boogaard, M., et al.: Development and validation of pre-deliric (prediction of delirium in ICU patients) delirium prediction model for intensive care patients: observational multicentre study. BMJ 344 (2012)","DOI":"10.1136\/bmj.e420"},{"issue":"1","key":"40_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13054-021-03752-w","volume":"25","author":"EM Bowman","year":"2021","unstructured":"Bowman, E.M., Cunningham, E.L., Page, V.J., McAuley, D.F.: Phenotypes and subphenotypes of delirium: a review of current categorisations and suggestions for progression. Crit. Care 25(1), 1\u201313 (2021)","journal-title":"Crit. Care"},{"issue":"1","key":"40_CR10","first-page":"23","volume":"8","author":"NE Breslow","year":"1996","unstructured":"Breslow, N.E.: Generalized linear models: checking assumptions and strengthening conclusions. Statist. Applicata 8(1), 23\u201341 (1996)","journal-title":"Statist. Applicata"},{"key":"40_CR11","doi-asserted-by":"crossref","unstructured":"Bulic, D., et al.: Cognitive and psychosocial outcomes of mechanically ventilated intensive care patients with and without delirium. Annal. Intens. Care 10, 1\u201310 (2020)","DOI":"10.1186\/s13613-020-00723-2"},{"key":"40_CR12","doi-asserted-by":"crossref","unstructured":"El-Habil, A.M.: An application on multinomial logistic regression model. Pak. J. Statist. Oper. Res. 271\u2013291 (2012)","DOI":"10.18187\/pjsor.v8i2.234"},{"key":"40_CR13","doi-asserted-by":"publisher","unstructured":"Figueiredo, C., Braga, A.C., Mariz, J.: Early delirium detection using machine learning algorithms. In: Gervasi, O., Murgante, B., Misra, S., Rocha, A.M.A.C., Garau, C. (eds.) ICCSA 2022. LNCS, vol. 13377, pp. 555\u2013570. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-10536-4_37","DOI":"10.1007\/978-3-031-10536-4_37"},{"key":"40_CR14","doi-asserted-by":"crossref","unstructured":"Ghezzi, E.S., et al.: How do predisposing factors differ between delirium motor subtypes? Age Ageing 51(9) (2022)","DOI":"10.1093\/ageing\/afac200"},{"key":"40_CR15","doi-asserted-by":"crossref","unstructured":"Gibb, K., et al.: The consistent burden in published estimates of delirium occurrence in medical inpatients over four decades: a systematic review and meta-analysis study. Age Ageing 49(3), 352\u2013360 (2020)","DOI":"10.1093\/ageing\/afaa040"},{"key":"40_CR16","doi-asserted-by":"crossref","unstructured":"Ho, M.H., et al.: Diagnostic test accuracy meta-analysis of pre-deliric (prediction of delirium in ICU patients): a delirium prediction model in intensive care practice. Intensive Crit. Care Nurs. 57, 14\u201322 (2020)","DOI":"10.1016\/j.iccn.2019.102784"},{"issue":"6","key":"40_CR17","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1177\/0269216312457214","volume":"27","author":"A Hosie","year":"2013","unstructured":"Hosie, A., Davidson, P.M., Agar, M., Sanderson, C.R., Phillips, J.: Delirium prevalence, incidence, and implications for screening in specialist palliative care inpatient settings: a systematic review. Palliat. Med. 27(6), 486\u2013498 (2013)","journal-title":"Palliat. Med."},{"key":"40_CR18","doi-asserted-by":"crossref","unstructured":"Hosmer, D.W., Lemeshow, S.: Applied Logistic Regression. Wiley, New York (2000)","DOI":"10.1002\/0471722146"},{"key":"40_CR19","doi-asserted-by":"crossref","unstructured":"Inouye, S.K.: Delirium-a framework to improve acute care for older persons. J. Am. Geriatr. Soc. 66, 446\u2013451 (2018)","DOI":"10.1111\/jgs.15296"},{"key":"40_CR20","doi-asserted-by":"crossref","unstructured":"Inouye, S.K., Charpentier, P.A.: Precipitating factors for delirium in hospitalized elderly persons: predictive model and interrelationship with baseline vulnerability. JAMA 275, 852\u2013857 (1996)","DOI":"10.1001\/jama.275.11.852"},{"issue":"9920","key":"40_CR21","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1016\/S0140-6736(13)60688-1","volume":"383","author":"SK Inouye","year":"2014","unstructured":"Inouye, S.K., Westendorp, R.G., Saczynski, J.S.: Delirium in elderly people. The Lancet 383(9920), 911\u2013922 (2014)","journal-title":"The Lancet"},{"key":"40_CR22","doi-asserted-by":"crossref","unstructured":"Janizadeh, S., et al.: Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility. Geomat. Nat. Hazards Risk 14(1) (2023)","DOI":"10.1080\/19475705.2023.2206512"},{"key":"40_CR23","doi-asserted-by":"crossref","unstructured":"Karpatne, A., et al.: Theory-guided data science: a new paradigm for scientific discovery from data. IEEE Trans. Knowl. Data Eng. 29(10), 2318\u20132331 (2017)","DOI":"10.1109\/TKDE.2017.2720168"},{"key":"40_CR24","doi-asserted-by":"crossref","unstructured":"McCullagh, P.: Generalized Linear Models. Routledge (2019)","DOI":"10.1201\/9780203753736"},{"key":"40_CR25","unstructured":"Morandi, A., et al.: Clinical features associated with delirium motor subtypes in older inpatients: results of a multicenter study. Am. J. Geriatr. Psychiatry 25(10), 1064\u20131071 (2017)"},{"key":"40_CR26","doi-asserted-by":"crossref","unstructured":"Slor, C.J., Adamis, D., Jansen, R.W., Meagher, D.J., Witlox, J., Houdijk, A.P., de Jonghe, J.F.: Delirium motor subtypes in elderly hip fracture patients: risk factors, outcomes and longitudinal stability. J. Psychosomat. Res. 74, 444\u2013449 (2013)","DOI":"10.1016\/j.jpsychores.2012.12.007"},{"issue":"11","key":"40_CR27","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1002\/gps.4711","volume":"33","author":"Z Tieges","year":"2018","unstructured":"Tieges, Z., Evans, J.J., Neufeld, K.J., MacLullich, A.M.: The neuropsychology of delirium: advancing the science of delirium assessment. Int. J. Geriatr. Psychiatry 33(11), 1501\u20131511 (2018)","journal-title":"Int. J. Geriatr. Psychiatry"},{"issue":"10","key":"40_CR28","first-page":"1331","volume":"8","author":"G Venkatesan","year":"2019","unstructured":"Venkatesan, G., Sasikala, V.: A statistical analysis of migration using logistic regression model. Int. J. Sci. Technol. Res. 8(10), 1331\u20131336 (2019)","journal-title":"Int. J. Sci. Technol. Res."},{"key":"40_CR29","doi-asserted-by":"crossref","unstructured":"Wassenaar, A., et al.: Multinational development and validation of an early prediction model for delirium in ICU patients. Intensive Care Med. 41, 1048\u20131056 (2015)","DOI":"10.1007\/s00134-015-3777-2"},{"key":"40_CR30","unstructured":"Wilson, J.E., et al.: Delirium (2020)"},{"key":"40_CR31","unstructured":"Yaria, J., et al.: Delirium in elderly patients: frequency and precipitants in a tertiary hospital setting. West Afr. J. Med. 36(2), 183\u2013188 (2019)"}],"container-title":["Communications in Computer and Information Science","Optimization, Learning Algorithms and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53025-8_40","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T20:18:12Z","timestamp":1706732292000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53025-8_40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031530241","9783031530258"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53025-8_40","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"OL2A","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Optimization, Learning Algorithms and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ponta Delgada","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"27 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":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ol2a2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ol2a.ipb.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"162","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"41% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}