{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T22:49:24Z","timestamp":1743115764750,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031093418"},{"type":"electronic","value":"9783031093425"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-09342-5_32","type":"book-chapter","created":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T13:05:42Z","timestamp":1657285542000},"page":"332-342","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6849-6239","authenticated-orcid":false,"given":"Mario","family":"Mart\u00ednez-Garc\u00eda","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8474-2479","authenticated-orcid":false,"given":"Susana","family":"Garc\u00eda-Gutierrez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4049-0000","authenticated-orcid":false,"given":"Rub\u00e9n","family":"Arma\u00f1anzas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2876-6177","authenticated-orcid":false,"given":"Adri\u00e1n","family":"D\u00edaz","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4674-1755","authenticated-orcid":false,"given":"I\u00f1aki","family":"Inza","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4683-8111","authenticated-orcid":false,"given":"Jose A.","family":"Lozano","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,9]]},"reference":[{"key":"32_CR1","unstructured":"World health organization (2022). https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019\/situation-reports"},{"key":"32_CR2","doi-asserted-by":"publisher","unstructured":"Arma\u00f1anzas, R., D\u00edaz, A., Mart\u00ednez-Garc\u00eda, M., Mazuelas, S.: Derivation of a cost-sensitive COVID-19 mortality risk indicator using a multistart framework. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2179\u20132186 (2021). https:\/\/doi.org\/10.1109\/BIBM52615.2021.9669288","DOI":"10.1109\/BIBM52615.2021.9669288"},{"key":"32_CR3","doi-asserted-by":"publisher","first-page":"89497","DOI":"10.1109\/ACCESS.2020.2990567","volume":"8","author":"J Blank","year":"2020","unstructured":"Blank, J., Deb, K.: Pymoo: multi-objective optimization in python. IEEE Access 8, 89497\u201389509 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2990567","journal-title":"IEEE Access"},{"issue":"2","key":"32_CR4","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1109\/4235.996017","volume":"6","author":"K Deb","year":"2002","unstructured":"Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-ii. IEEE Trans. Evol. Comput. 6(2), 182\u2013197 (2002). https:\/\/doi.org\/10.1109\/4235.996017","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"4","key":"32_CR5","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/S2213-2600(20)30559-2","volume":"9","author":"RK Gupta","year":"2021","unstructured":"Gupta, R.K., Harrison, E.M., Ho, A., Docherty, A.B., Knight, S.R.: Development and validation of the ISARIC 4C deterioration model for adults hospitalised with COVID-19: a prospective cohort study. Lancet Respir. Med. 9(4), 349\u2013359 (2021). https:\/\/doi.org\/10.1016\/S2213-2600(20)30559-2","journal-title":"Lancet Respir. Med."},{"issue":"1","key":"32_CR6","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/MCI.2021.3129962","volume":"17","author":"J Ircio","year":"2022","unstructured":"Ircio, J., Lojo, A., Mori, U., Lozano, J.A.: A multivariate time series streaming classifier for predicting hard drive failures. IEEE Comput. Intell. Mag. 17(1), 102\u2013114 (2022). https:\/\/doi.org\/10.1109\/MCI.2021.3129962","journal-title":"IEEE Comput. Intell. Mag."},{"key":"32_CR7","doi-asserted-by":"publisher","unstructured":"Knight, S.R., Ho, A., Pius, R., Buchan, I.: Risk stratification of patients admitted to hospital with COVID-19 using the ISARIC who clinical characterisation protocol: development and validation of the 4C mortality score, 370 (2020). https:\/\/doi.org\/10.1136\/bmj.m3339","DOI":"10.1136\/bmj.m3339"},{"issue":"6","key":"32_CR8","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1093\/bioinformatics\/17.6.520","volume":"17","author":"O Troyanskaya","year":"2001","unstructured":"Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P.: Missing value estimation methods for DNA microarrays. Bioinformatics 17(6), 520\u2013525 (2001). https:\/\/doi.org\/10.1093\/bioinformatics\/17.6.520","journal-title":"Bioinformatics"},{"key":"32_CR9","doi-asserted-by":"publisher","unstructured":"Wynants, L., Van Calster, B., Collins, G.S., Riley, R.D.: Prediction models for diagnosis and prognosis of COVID-19: systematic review and critical appraisal, 369 (2020). https:\/\/doi.org\/10.1136\/bmj.m1328","DOI":"10.1136\/bmj.m1328"},{"issue":"5","key":"32_CR10","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1038\/s42256-020-0180-7","volume":"2","author":"L Yan","year":"2020","unstructured":"Yan, L., Zhang, H.T., Goncalves, J., Xiao, Y.: An interpretable mortality prediction model for COVID-19 patients. Nat. Mach. Intell. 2(5), 283\u2013288 (2020). https:\/\/doi.org\/10.1038\/s42256-020-0180-7","journal-title":"Nat. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-09342-5_32","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T13:09:35Z","timestamp":1657285775000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-09342-5_32"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031093418","9783031093425"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-09342-5_32","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"9 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIME","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Medicine","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Halifax, NS","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aime2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aime22.aimedicine.info\/","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":"113","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":"39","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":"7","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":"35% - 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":"3","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)"}}]}}