{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:46:53Z","timestamp":1742971613363,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819709885"},{"type":"electronic","value":"9789819709892"}],"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\/978-981-97-0989-2_3","type":"book-chapter","created":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T06:02:15Z","timestamp":1710482535000},"page":"27-38","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards Improving Insurance Processes: A Time Series Analysis of Psychosocial Recovery After Workplace Injury Across Legislative Environments"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5324-0444","authenticated-orcid":false,"given":"John E.","family":"McMahon","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6530-8629","authenticated-orcid":false,"given":"Rasool","family":"Roozegar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7647-7604","authenticated-orcid":false,"given":"Ashley","family":"Craig","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian","family":"Cameron","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,16]]},"reference":[{"issue":"4","key":"3_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fdata.2020.00004","volume":"3","author":"S Kaushink","year":"2020","unstructured":"Kaushink, S., et al.: AI in healthcare: time-series forecasting using statistical, neural, and ensemble architectures. Front Big Data. 3(4), 1\u201317 (2020). https:\/\/doi.org\/10.3389\/fdata.2020.00004","journal-title":"Front Big Data."},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/0895-4356(90)90005-A","volume":"43","author":"BF Crabtree","year":"1990","unstructured":"Crabtree, B.F., Ray, S.C., Schmidt, P.M., O\u2019\u00c7onnor, P.T., Schmidt, D.D.: The individual over time: time series applications in health care research. J. Clin. Epidemiol. 43, 241\u2013260 (1990). https:\/\/doi.org\/10.1016\/0895-4356(90)90005-A","journal-title":"J. Clin. Epidemiol."},{"issue":"1","key":"3_CR3","doi-asserted-by":"publisher","first-page":"52","DOI":"10.3390\/engproc2021005052","volume":"5","author":"P Furtado","year":"2021","unstructured":"Furtado, P.: Epidemiology SIR with regression, arima, and prophet in forecasting Covid-19. Eng. Proc. 5(1), 52 (2021). https:\/\/doi.org\/10.3390\/engproc2021005052","journal-title":"Eng. Proc."},{"key":"3_CR4","unstructured":"Farley, J.F., Harley, C.R., and Devine, J.V.: A comparison of comorbidity measurements to predict healthcare expenditures. Am. J. Manag. Care, 12, 110\u2013118 (2006). https:\/\/pubmed.ncbi.nlm.nih.gov\/16464140"},{"key":"3_CR5","unstructured":"Brockwell, P.J., Davis, R.A.: Time Series: Theory and Methods, 2nd Ed. Springer: New York (2009). ISBN 9781441903198"},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1186\/s12913-017-2407-9","volume":"17","author":"L Luo","year":"2017","unstructured":"Luo, L., Luo, L., Zhang, X., He, X.: Hospital daily outpatient visits forecasting using a combinatorial model based on ARIMA and SES Models. BMC Health Serv. Res. 17, 469 (2017). https:\/\/doi.org\/10.1186\/s12913-017-2407-9","journal-title":"BMC Health Serv. Res."},{"key":"3_CR7","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2022.582186","volume":"9","author":"A Burinskiene","year":"2022","unstructured":"Burinskiene, A.: Forecasting model: the case of the pharmaceutical retail. Front. Med. 9, 582186 (2022). https:\/\/doi.org\/10.3389\/fmed.2022.582186","journal-title":"Front. Med."},{"key":"3_CR8","unstructured":"Prophet Forecasting at Scale. https:\/\/facebook.github.io\/prophet\/.Accessed 26 Sept 2023"},{"key":"3_CR9","unstructured":"Kartikasari, M.D., Imani, N.: Time series analysis of claims reservice in general insurance industry. In: The Proceedings of The 8th Annual Basic Science International Conference. https:\/\/repository.unesa.ac.id\/sysop\/files\/2020-06-30_conference%20or%20workshop%20Harun%2016.pdf"},{"key":"3_CR10","series-title":"Contributions to Statistics","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1007\/978-3-030-26036-1_23","volume-title":"Theory and Applications of Time Series Analysis","author":"A Pinho","year":"2019","unstructured":"Pinho, A., Costa, R., Silva, H., Furtado, P.: Comparing time series prediction approaches for telecom analysis. In: Valenzuela, O., Rojas, F., Pomares, H., Rojas, I. (eds.) ITISE 2018. CS, pp. 331\u2013345. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-26036-1_23"},{"issue":"22","key":"3_CR11","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1097\/BRS.0b013e3181f8f775","volume":"36","author":"SJ Linton","year":"2011","unstructured":"Linton, S.J., Nicholas, M., Macdonald, S.: Development of a short form of the orebro musculoskeletal pain screening questionnaire. Spine 36(22), 1892\u20131895 (2011). https:\/\/doi.org\/10.1097\/BRS.0b013e3181f8f775","journal-title":"Spine"},{"key":"3_CR12","doi-asserted-by":"publisher","first-page":"13903","DOI":"10.4414\/smw.2013.13903","volume":"143","author":"E Opsommer","year":"2013","unstructured":"Opsommer, E., Hilfiker, R., Raval-Roland, B., Crombez, G., River, G.: Test-retest reliability of the Orebro Musculoskeletal pain screening questionnaire and the situational pain scale in patients with chronic low back pain. Eur. J Med Sci. 143, 13903 (2013). https:\/\/doi.org\/10.4414\/smw.2013.13903","journal-title":"Eur. J Med Sci."},{"key":"3_CR13","doi-asserted-by":"publisher","first-page":"385","DOI":"10.2307\/2136404","volume":"24","author":"S Cohen","year":"1983","unstructured":"Cohen, S., Karmarck, T., Mermelstein, R.: A global measure of perceived stress. J. Health Soc. Behav. 24, 385\u2013396 (1983). https:\/\/doi.org\/10.2307\/2136404","journal-title":"J. Health Soc. Behav."},{"key":"3_CR14","unstructured":"Srivastava, T.: A Complete Tutorial on Time Series Modelling in R. Analytica Vidhya (2023). https:\/\/www.analyticsvidhya.com\/blog\/2015\/12\/complete-tutorial-time-series-modeling"},{"key":"3_CR15","unstructured":"Duke University: Introduction to ARIMA: Non-Seasonal Models https:\/\/people.duke.edu\/~rnau\/411arim.htm.Accessed 13 Oct 202"}],"container-title":["Lecture Notes in Computer Science","Service-Oriented Computing \u2013 ICSOC 2023 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-0989-2_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,15]],"date-time":"2024-03-15T06:02:48Z","timestamp":1710482568000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0989-2_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819709885","9789819709892"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0989-2_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"16 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSOC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Service-Oriented Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"1 December 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icsoc2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icsoc2023.diag.uniroma1.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"ConfTool","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"208","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":"35","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":"10","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":"17% - 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":"4","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":"6","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"other papers accepted: 3 industry full papers, 3 keynote abstracts (in the front matter)","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}