{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T15:55:38Z","timestamp":1773330938798,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100009473","name":"Universidad de M\u00e1laga","doi-asserted-by":"publisher","award":["806\/47.3031"],"award-info":[{"award-number":["806\/47.3031"]}],"id":[{"id":"10.13039\/100009473","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2966397","type":"journal-article","created":{"date-parts":[[2020,1,13]],"date-time":"2020-01-13T20:40:13Z","timestamp":1578948013000},"page":"18394-18407","source":"Crossref","is-referenced-by-count":21,"title":["Non-Invasive Meningitis Diagnosis Using Decision Trees"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8128-6594","authenticated-orcid":false,"given":"Viviane M.","family":"Lelis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5172-9681","authenticated-orcid":false,"given":"Eduardo","family":"Guzman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3068-3645","authenticated-orcid":false,"given":"Maria-Victoria","family":"Belmonte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Correlation-based feature selection for machine learning","author":"hall","year":"1999"},{"key":"ref38","author":"wilensky","year":"2019","journal-title":"NetLogo"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1009213726"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref31","first-page":"21","author":"da sa\u00f9de","year":"2009","journal-title":"Guide to Epidemiological Surveillance"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0335-9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279960"},{"key":"ref36","article-title":"The WEKA workbench","author":"frank","year":"2016","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref35","first-page":"124","article-title":"The alternating decision tree learning algorithm","author":"freund","year":"1999","journal-title":"Proc 16th Int Conf Mach Learn (ICML)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116251"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-010-9452-9"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-247-2.50037-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-013-9989-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2011.12.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2017.02.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2016.10.018"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2019.01.002"},{"key":"ref16","author":"han","year":"2012","journal-title":"Data Mining Concepts and Techniques"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2016.08.016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2015.07.019"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-016-0467-8"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-018-03729-y"},{"key":"ref4","author":"greenes","year":"2011","journal-title":"Clinical Decision Support The Road Ahead"},{"key":"ref27","first-page":"239","article-title":"A medical training simulation system to assist novice physicians in diagnostics problem solving","author":"weitzel","year":"2005","journal-title":"Proc WSEAS Int Conf Neural Netw Lisbon Portugal"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1007\/978-0-387-38319-4","author":"berner","year":"2007","journal-title":"Clinical Decision Support Systems Theory and Practice"},{"key":"ref6","article-title":"Explainable AI for trees: From local explanations to global understanding","author":"lundberg","year":"0"},{"key":"ref29","first-page":"411","article-title":"Machine learning for aiding meningitis diagnosis in pediatric patients","volume":"13","author":"zaccari","year":"2019","journal-title":"Int J Med Health Sci"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3109\/00365548.2013.799289"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000113"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870052"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jinf.2008.09.033"},{"key":"ref9","first-page":"159","article-title":"Clinical decision support systems: A review of knowledge representation and inference under uncertainties","volume":"1","author":"kong","year":"2008","journal-title":"Int J Comput Intell Syst"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(03)13693-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-014-0094-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2741521"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.08.065"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-017-0785-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.02.055"},{"key":"ref41","first-page":"75","article-title":"Feature selection via the discovery of simple classification rules","author":"holmes","year":"1995","journal-title":"Proc Symp Intell Data Anal (IDA)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6947-12-98"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000007635"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03667-6_35"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JVA.2006.2"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/08957562.pdf?arnumber=8957562","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T19:41:40Z","timestamp":1643312500000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8957562\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2966397","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}