{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T15:32:54Z","timestamp":1776785574501,"version":"3.51.2"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030910990","type":"print"},{"value":"9783030911003","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-91100-3_15","type":"book-chapter","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T00:03:57Z","timestamp":1638749037000},"page":"167-180","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Patients Forecasting in Emergency Services by Using Machine Learning and Exogenous Variables"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5864-9035","authenticated-orcid":false,"given":"Hugo","family":"\u00c1lvarez-Chaves","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3601-3052","authenticated-orcid":false,"given":"David F.","family":"Barrero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3981-6245","authenticated-orcid":false,"given":"Mario","family":"Cobos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7024-0427","authenticated-orcid":false,"given":"Maria D.","family":"R-Moreno","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,12,6]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","unstructured":"Guttmann, A., Schull, M.J., Vermeulen, M.J., Stukel, T.A.: Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada. BMJ 342(7809), 6 June 2011. https:\/\/doi.org\/10.1136\/bmj.d2983","DOI":"10.1136\/bmj.d2983"},{"issue":"4","key":"15_CR2","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1080\/20476965.2018.1547348","volume":"9","author":"M Gul","year":"2020","unstructured":"Gul, M., Celik, E.: An exhaustive review and analysis on applications of statistical forecasting in hospital emergency departments. Health Syst. 9(4), 263\u2013284 (2020). https:\/\/doi.org\/10.1080\/20476965.2018.1547348","journal-title":"Health Syst."},{"key":"15_CR3","doi-asserted-by":"publisher","unstructured":"Collado-Villaverde, A., R-Moreno, M.D., Barrero, D.F., Rodriguez, D.: Machine learning approach to detect falls on elderly people using sound, pp. 149\u2013159. Springer, Arras, France, June 2017. https:\/\/doi.org\/10.1007\/978-3-319-60042-0_18","DOI":"10.1007\/978-3-319-60042-0_18"},{"key":"15_CR4","doi-asserted-by":"publisher","unstructured":"Hertzum, M.: Forecasting hourly patient visits in the emergency department to counteract crowding. Ergon. Open J. 10(1), 1\u201313 (2017). https:\/\/doi.org\/10.2174\/1875934301710010001","DOI":"10.2174\/1875934301710010001"},{"key":"15_CR5","doi-asserted-by":"publisher","unstructured":"McCarthy, M.L., Zeger, S.L., Ding, R., Aronsky, D., Hoot, N.R., Kelen, G.D.: The challenge of predicting demand for emergency department services. Acad. Emergency Med. 15(4), 337\u2013346 (2008). https:\/\/doi.org\/10.1111\/j.1553-2712.2008.00083.x","DOI":"10.1111\/j.1553-2712.2008.00083.x"},{"key":"15_CR6","doi-asserted-by":"publisher","unstructured":"Sun, Y., Heng, B.H., Seow, Y.T., Seow, E.: Forecasting daily attendances at an emergency department to aid resource planning (2009). https:\/\/doi.org\/10.1186\/1471-227X-9-1","DOI":"10.1186\/1471-227X-9-1"},{"key":"15_CR7","doi-asserted-by":"publisher","unstructured":"Boyle, J., et al.: Predicting emergency department admissions. Emergency Med. J. 29(5), 358\u2013365 (2012). https:\/\/doi.org\/10.1136\/emj.2010.103531","DOI":"10.1136\/emj.2010.103531"},{"issue":"3","key":"15_CR8","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1007\/s10844-021-00638-9","volume":"56","author":"CN Rocha","year":"2021","unstructured":"Rocha, C.N., Rodrigues, F.: Forecasting emergency department admissions. J. Intell. Inf. Syst. 56(3), 509\u2013528 (2021). https:\/\/doi.org\/10.1007\/s10844-021-00638-9","journal-title":"J. Intell. Inf. Syst."},{"issue":"3","key":"15_CR9","doi-asserted-by":"publisher","first-page":"158","DOI":"10.4258\/hir.2010.16.3.158","volume":"16","author":"HJ Kam","year":"2010","unstructured":"Kam, H.J., Sung, J.O., Park, R.W.: Prediction of daily patient numbers for a regional emergency medical center using time series analysis. Healthc. Inform. Res. 16(3), 158\u2013165 (2010). https:\/\/doi.org\/10.4258\/hir.2010.16.3.158","journal-title":"Healthc. Inform. Res."},{"key":"15_CR10","unstructured":"Poole, S., Grannis, S., Shah, N.H.: Predicting emergency department visits. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science 2016, pp. 438\u2013445 (2016)"},{"key":"15_CR11","doi-asserted-by":"publisher","unstructured":"Graham, B., Bond, R., Quinn, M., Mulvenna, M.: Using data mining to predict hospital admissions from the emergency department. IEEE Access 6, 10458\u201310469 (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2808843","DOI":"10.1109\/ACCESS.2018.2808843"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence XXXVIII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-91100-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T00:05:35Z","timestamp":1638749135000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-91100-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030910990","9783030911003"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-91100-3_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"6 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SGAI-AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Innovative Techniques and Applications of Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"41","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sgai2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/bcs-sgai.org\/ai2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}