{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T04:32:13Z","timestamp":1729657933928,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1109\/bibm.2015.7359733","type":"proceedings-article","created":{"date-parts":[[2015,12,17]],"date-time":"2015-12-17T22:00:00Z","timestamp":1450389600000},"page":"491-496","source":"Crossref","is-referenced-by-count":1,"title":["Supporting HIV literature screening with data sampling and supervised learning"],"prefix":"10.1109","author":[{"given":"Hayda","family":"Almeida","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marie-Jean","family":"Meurs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leila","family":"Kosseim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adrian","family":"Tsang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1186\/1471-2105-11-55"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1007\/978-1-4757-2440-0"},{"doi-asserted-by":"publisher","key":"ref31","DOI":"10.1186\/2046-4053-3-74"},{"key":"ref30","first-page":"227","article-title":"Explaining odds ratios","volume":"19","author":"szumilas","year":"2010","journal-title":"J Canadian Academy of Child and Adolescent Psychiatry"},{"key":"ref36","article-title":"The Effect of Class Distribution on Classifier Learning: An Empirical Study","author":"weiss","year":"2001","journal-title":"Technical Report ML-TR-44"},{"key":"ref35","first-page":"35","article-title":"Cost-sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?","author":"weiss","year":"2007","journal-title":"International Conference on Data Mining"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1371\/journal.pone.0091315"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1613\/jair.953","article-title":"SMOTE: Synthetic Minority Over-sampling TEchnique","volume":"16","author":"chawla","year":"2002","journal-title":"Journal of Artificial Intelligence Research"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1016\/j.artmed.2005.03.002"},{"key":"ref12","first-page":"1","article-title":"C4.5, Class Imbalance, and Cost Sensitivity: Why Under-sampling beats Over-sampling","author":"drummond","year":"2003","journal-title":"Workshop on Learning from Imbalanced Datasets II at the International Conference on Machine Learning (ICML-2003) Washington DC"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1016\/j.knosys.2011.05.002"},{"key":"ref14","first-page":"1157","article-title":"An Introduction to Variable and Feature Selection","volume":"3","author":"guyon","year":"2003","journal-title":"The Journal of Machine Learning Research"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1109\/TKDE.2008.239"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1007\/s10994-005-0466-3"},{"key":"ref17","first-page":"265","article-title":"Medical Subject Headings (MeSH)","volume":"88","author":"lipscomb","year":"2000","journal-title":"Bulletin of the Medical Library Association"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1016\/j.csl.2005.06.002"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1007\/978-3-642-38989-4_27"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1016\/j.patcog.2011.01.015"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1007\/s13174-010-0014-7"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1093\/nar\/gkq1172"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1371\/journal.pone.0115892"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1016\/j.artmed.2012.05.002"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1108\/eb026526"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/ICDMW.2012.45"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1515\/jib-2011-176","article-title":"Improving Imbalanced Scientific Text Classification Using Sampling Strategies and Dictionaries","volume":"8","author":"borrajo","year":"2011","journal-title":"Journal of Integrative Bioinformatics"},{"key":"ref7","first-page":"235","article-title":"Statistical Fraud Detection: A Review","author":"bolton","year":"2002","journal-title":"Statistical Science"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1186\/2046-4053-4-5","article-title":"Using Text Mining for Study Identification in Systematic Reviews: A Systematic Review of Current Approaches","volume":"4","author":"alison","year":"2015","journal-title":"Systematic Reviews"},{"key":"ref9","first-page":"32","article-title":"Using Collaborative Tagging for Text Classification","author":"charton","year":"2013","journal-title":"Informatics 2014"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/978-3-540-30115-8_7","article-title":"Applying Support Vector Machines to Imbalanced Datasets","author":"akbani","year":"2004","journal-title":"Machine Learning ECML 2004"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.1007\/s00500-010-0625-8","article-title":"Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling","volume":"15","author":"luengo","year":"2011","journal-title":"Soft Computing"},{"year":"2009","author":"marsland","journal-title":"Machine Learning An Algorithmic Perspective","key":"ref22"},{"key":"ref21","article-title":"Learning when Data Sets Are Imbalanced and when Costs Are Unequal and Unknown","volume":"2","author":"maloof","year":"2003","journal-title":"Workshop on Learning from Imbalanced Data Sets II ICML Washington DC USA 2003"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1371\/journal.pone.0080503"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/ICSMC.2012.6378300"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1371\/journal.pone.0102039"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1001\/jama.2013.393"}],"event":{"name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2015,11,9]]},"location":"Washington, DC, USA","end":{"date-parts":[[2015,11,12]]}},"container-title":["2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7350074\/7359638\/07359733.pdf?arnumber=7359733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T17:13:24Z","timestamp":1567444404000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7359733\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/bibm.2015.7359733","relation":{},"subject":[],"published":{"date-parts":[[2015,11]]}}}