{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T10:45:17Z","timestamp":1751885117840,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T00:00:00Z","timestamp":1548720000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,1,29]]},"DOI":"10.1145\/3290688.3290728","type":"proceedings-article","created":{"date-parts":[[2019,1,14]],"date-time":"2019-01-14T13:15:25Z","timestamp":1547471725000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Analysing Effectiveness of Multi-Label Classification in Clinical Coding"],"prefix":"10.1145","author":[{"given":"Rajvir","family":"Kaur","sequence":"first","affiliation":[{"name":"School of Computing, Engineering and Mathematics, Western Sydney University, New South Wales, Australia"}]},{"given":"Jeewani Anupama","family":"Ginige","sequence":"additional","affiliation":[{"name":"School of Computing, Engineering and Mathematics, Western Sydney University, New South Wales, Australia"}]}],"member":"320","published-online":{"date-parts":[[2019,1,29]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II.","author":"Lita L.V.","year":"2008","unstructured":"Lita , L.V. , et al. Large scale diagnostic code classification for medical patient records . in Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II. 2008 . Lita, L.V., et al. Large scale diagnostic code classification for medical patient records. in Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-II. 2008."},{"key":"e_1_3_2_1_2_1","first-page":"73","volume":"201","author":"Kaur R.","unstructured":"Kaur , R. and J.A. Ginige , Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10- AM and ACHI. Studies in Health Technology and Informatics , 201 8. 252: p. 73 -- 79 . Kaur, R. and J.A. Ginige, Comparative Analysis of Algorithmic Approaches for Auto-Coding with ICD-10-AM and ACHI. Studies in Health Technology and Informatics, 2018. 252: p. 73--79.","journal-title":"Informatics"},{"key":"e_1_3_2_1_3_1","volume-title":"Applications and Services (Healthcom), 2017 IEEE 19th International Conference on.","author":"Sun W.","year":"2017","unstructured":"Sun , W. , et al. A survey of data mining technology on electronic medical records. in e-Health Networking , Applications and Services (Healthcom), 2017 IEEE 19th International Conference on. 2017 . IEEE. Sun, W., et al. A survey of data mining technology on electronic medical records. in e-Health Networking, Applications and Services (Healthcom), 2017 IEEE 19th International Conference on. 2017. IEEE."},{"key":"e_1_3_2_1_4_1","volume":"201","author":"Sun W.","unstructured":"Sun , W. , et al. , Data Processing and Text Mining Technologies on Electronic Medical Records: A Review. Journal of Healthcare Engineering , 201 8. 2018: p. 9. Sun, W., et al., Data Processing and Text Mining Technologies on Electronic Medical Records: A Review. Journal of Healthcare Engineering, 2018. 2018: p. 9.","journal-title":"Journal of Healthcare Engineering"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2009.03.002"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.164"},{"key":"e_1_3_2_1_7_1","volume-title":"Learning multi-label scene classification. Pattern recognition","author":"Boutell M.R.","year":"2004","unstructured":"Boutell , M.R. , et al. , Learning multi-label scene classification. Pattern recognition , 2004 . 37(9): p. 1757--1771. Boutell, M.R., et al., Learning multi-label scene classification. Pattern recognition, 2004. 37(9): p. 1757--1771."},{"key":"e_1_3_2_1_8_1","volume-title":"AAAI workshop on Text Learning.","author":"McCallum A.","year":"1999","unstructured":"McCallum , A. Multi-label text classification with a mixture model trained by EM . in AAAI workshop on Text Learning. 1999 . McCallum, A. Multi-label text classification with a mixture model trained by EM. in AAAI workshop on Text Learning. 1999."},{"key":"e_1_3_2_1_9_1","volume-title":"Advances in neural information processing systems.","author":"Elisseeff A.","year":"2002","unstructured":"Elisseeff , A. and J. Weston . A kernel method for multi-labelled classification . in Advances in neural information processing systems. 2002 . Elisseeff, A. and J. Weston. A kernel method for multi-labelled classification. in Advances in neural information processing systems. 2002."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.4018\/jdwm.2007070101"},{"key":"e_1_3_2_1_11_1","first-page":"4","volume":"201","author":"Cherman E.A.","unstructured":"Cherman , E.A. , M.C. Monard , and J. Metz , Multilabel problem transformation methods: a case study. CLEI Electronic Journal , 201 1. 14(1): p. 4 -- 4 . Cherman, E.A., M.C. Monard, and J. Metz, Multilabel problem transformation methods: a case study. CLEI Electronic Journal, 2011. 14(1): p. 4--4.","journal-title":"CLEI Electronic Journal"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-9-S3-S10"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2015.04.007"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.01.114"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICICA.2014.44"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020472"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/WCCCT.2014.65"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.162"},{"key":"e_1_3_2_1_20_1","volume":"201","author":"Li R.","unstructured":"Li , R. , et al. , An Ensemble Multilabel Classification for Disease Risk Prediction. Journal of Healthcare Engineering , 201 7. 2017: p. 10. Li, R., et al., An Ensemble Multilabel Classification for Disease Risk Prediction. Journal of Healthcare Engineering, 2017. 2017: p. 10.","journal-title":"Journal of Healthcare Engineering"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007649029923"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87881-0_40"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2014.12.011"},{"key":"e_1_3_2_1_24_1","first-page":"2411","volume":"201","author":"Tsoumakas G.","unstructured":"Tsoumakas , G. , et al. , MULAN: A Java Library for Multi-Label Learning. J. Mach. Learn. Res. , 201 1. 12: p. 2411 -- 2414 . Tsoumakas, G., et al., MULAN: A Java Library for Multi-Label Learning. J. Mach. Learn. Res., 2011. 12: p. 2411--2414.","journal-title":"MULAN: A Java Library for Multi-Label Learning. J. Mach. Learn. Res."},{"key":"e_1_3_2_1_25_1","volume-title":"Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach, Editors.","author":"Tsoumakas G.","year":"2010","unstructured":"Tsoumakas , G. , I. Katakis , and I. Vlahavas , Mining Multi-label Data , in Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach, Editors. 2010 , Springer US : Boston, MA. p. 667--685. Tsoumakas, G., I. Katakis, and I. Vlahavas, Mining Multi-label Data, in Data Mining and Knowledge Discovery Handbook, O. Maimon and L. Rokach, Editors. 2010, Springer US: Boston, MA. p. 667--685."},{"key":"e_1_3_2_1_26_1","volume-title":"Multi-label Classification of Clinical Text Documents considering the Impact of Text Pre-processing and Training size","author":"Spat S.","year":"2011","unstructured":"Spat , S. , et al. , Multi-label Classification of Clinical Text Documents considering the Impact of Text Pre-processing and Training size . 2011 . Spat, S., et al., Multi-label Classification of Clinical Text Documents considering the Impact of Text Pre-processing and Training size. 2011."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.03.004"},{"key":"e_1_3_2_1_28_1","volume-title":"Proceedings of the ICML\/UAI\/COLT Workshop on Machine Learning for Health-Care Applications.","author":"Suominen H.","year":"2008","unstructured":"Suominen , H. , et al. Machine learning to automate the assignment of diagnosis codes to free-text radiology reports: a method description . in Proceedings of the ICML\/UAI\/COLT Workshop on Machine Learning for Health-Care Applications. 2008 . Suominen, H., et al. Machine learning to automate the assignment of diagnosis codes to free-text radiology reports: a method description. in Proceedings of the ICML\/UAI\/COLT Workshop on Machine Learning for Health-Care Applications. 2008."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1002\/cae.21743"},{"key":"e_1_3_2_1_30_1","volume-title":"Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection. PloS one","author":"Mujtaba G.","year":"2017","unstructured":"Mujtaba , G. , et al. , Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection. PloS one , 2017 . 12(2): p. e0170242. Mujtaba, G., et al., Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection. PloS one, 2017. 12(2): p. e0170242."}],"event":{"name":"ACSW 2019: Australasian Computer Science Week 2019","sponsor":["CORE - Computing Research and Education","Macquarie University-Sydney"],"location":"Sydney NSW Australia","acronym":"ACSW 2019"},"container-title":["Proceedings of the Australasian Computer Science Week Multiconference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3290688.3290728","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3290688.3290728","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:17Z","timestamp":1750204397000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3290688.3290728"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,29]]},"references-count":30,"alternative-id":["10.1145\/3290688.3290728","10.1145\/3290688"],"URL":"https:\/\/doi.org\/10.1145\/3290688.3290728","relation":{},"subject":[],"published":{"date-parts":[[2019,1,29]]},"assertion":[{"value":"2019-01-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}