{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T07:03:14Z","timestamp":1756191794480,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T00:00:00Z","timestamp":1669075200000},"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":[[2022,11,22]]},"DOI":"10.1145\/3575882.3575907","type":"proceedings-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T23:12:51Z","timestamp":1677539571000},"page":"125-129","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Evaluation of Machine Learning Models for Detecting Disambiguation on Medical Abbreviations"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4046-251X","authenticated-orcid":false,"given":"Raden Sandra","family":"Yuwana","sequence":"first","affiliation":[{"name":"National Research and Innovation Agency (BRIN), Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1047-3173","authenticated-orcid":false,"given":"Ruth","family":"Andini","sequence":"additional","affiliation":[{"name":"Sebelas Maret University, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8078-7592","authenticated-orcid":false,"given":"Hilman","family":"Pardede","sequence":"additional","affiliation":[{"name":"National Research and Innovation Agency (BRIN), Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8185-1274","authenticated-orcid":false,"given":"Winita","family":"Sulandari","sequence":"additional","affiliation":[{"name":"Universitas Sebelas Maret, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9254-095X","authenticated-orcid":false,"given":"Endang","family":"Suryawati","sequence":"additional","affiliation":[{"name":"National Research and Innovation Agency (BRIN), Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5751-9493","authenticated-orcid":false,"given":"Candra","family":"Ihsan","sequence":"additional","affiliation":[{"name":"National Research and Innovation Agency (BRIN), Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2750-3666","authenticated-orcid":false,"given":"Ahmad Afif","family":"Supianto","sequence":"additional","affiliation":[{"name":"National Research and Innovation Agency (BRIN), Indonesia"}]}],"member":"320","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Machine Learning for Health Workshop (pp. 233-245)","author":"Skreta M.","year":"2020","unstructured":"Skreta , M. , Arbabi , A. , Wang , J. , & Brudno , M. ( 2020 , April). Training without training data: Improving the generalizability of automated medical abbreviation disambiguation . In Machine Learning for Health Workshop (pp. 233-245) . PMLR.. Skreta, M., Arbabi, A., Wang, J., & Brudno, M. (2020, April). Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. In Machine Learning for Health Workshop (pp. 233-245). PMLR.."},{"key":"e_1_3_2_1_2_1","volume-title":"Ambiguous medical abbreviation study: challenges and opportunities. Internal medicine journal, 50(9), 1073-1078","author":"Holper S.","year":"2020","unstructured":"Holper , S. , Barmanray , R. , Colman , B. , Yates , C. J. , Liew , D. , & Smallwood , D. ( 2020 ). Ambiguous medical abbreviation study: challenges and opportunities. Internal medicine journal, 50(9), 1073-1078 .. Holper, S., Barmanray, R., Colman, B., Yates, C. J., Liew, D., & Smallwood, D. (2020). Ambiguous medical abbreviation study: challenges and opportunities. Internal medicine journal, 50(9), 1073-1078.."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.07.025"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001506"},{"key":"e_1_3_2_1_5_1","volume-title":"CLEF (Working Notes).","author":"Zweigenbaum P.","year":"2013","unstructured":"Zweigenbaum , P. , Del\u00e9ger , L. , Lavergne , T. , N\u00e9v\u00e9ol , A. , & Bodnari , A. ( 2013 ). A Supervised Abbreviation Resolution System for Medical Text . In CLEF (Working Notes). Zweigenbaum, P., Del\u00e9ger, L., Lavergne, T., N\u00e9v\u00e9ol, A., & Bodnari, A. (2013). A Supervised Abbreviation Resolution System for Medical Text. In CLEF (Working Notes)."},{"key":"e_1_3_2_1_6_1","unstructured":"Choi E. Bahadori M. T. Schuetz A. Stewart W. F. & Sun J. (2016 December). Doctor ai: Predicting clinical events via recurrent neural networks. In Machine learning for healthcare conference (pp. 301-318). PMLR.  Choi E. Bahadori M. T. Schuetz A. Stewart W. F. & Sun J. (2016 December). Doctor ai: Predicting clinical events via recurrent neural networks. In Machine learning for healthcare conference (pp. 301-318). PMLR."},{"key":"e_1_3_2_1_7_1","first-page":"204","volume-title":"Proceedings of WUPES","author":"Vomlel J.","year":"2012","unstructured":"Vomlel , J. , Kruz\u0131k , H. , Tuma , P. , Precek , J. , & Hutyra , M. ( 2012 ). Machine learning methods for mortality prediction in patients with st elevation myocardial infarction . Proceedings of WUPES , 2012, 204 - 213 . Vomlel, J., Kruz\u0131k, H., Tuma, P., Precek, J., & Hutyra, M. (2012). Machine learning methods for mortality prediction in patients with st elevation myocardial infarction. Proceedings of WUPES, 2012, 204-213."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2017.01.011"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2935416"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti586"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the BioNLP 2009 Workshop (pp. 71-79)","author":"Stevenson M.","year":"2009","unstructured":"Stevenson , M. , Guo , Y. , Alamri , A. , & Gaizauskas , R. ( 2009 , June). Disambiguation of biomedical abbreviations . In Proceedings of the BioNLP 2009 Workshop (pp. 71-79) . Stevenson, M., Guo, Y., Alamri, A., & Gaizauskas, R. (2009, June). Disambiguation of biomedical abbreviations. In Proceedings of the BioNLP 2009 Workshop (pp. 71-79)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073111"},{"issue":"2","key":"e_1_3_2_1_13_1","first-page":"3","article-title":"The optimality of naive Bayes","volume":"1","author":"Zhang H.","year":"2004","unstructured":"Zhang , H. ( 2004 ). The optimality of naive Bayes . Aa , 1 ( 2 ), 3 . Zhang, H. (2004). The optimality of naive Bayes. Aa, 1(2), 3.","journal-title":"Aa"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.4304\/jcp.8.10.2632-2639"},{"volume-title":"ECAI (Vol. 2, No. 4","author":"Amini M. R.","key":"e_1_3_2_1_15_1","unstructured":"Amini , M. R. , & Gallinari , P. (2002, July ). Semi-supervised logistic regression . In ECAI (Vol. 2, No. 4 , p. 11). Amini, M. R., & Gallinari, P. (2002, July). Semi-supervised logistic regression. In ECAI (Vol. 2, No. 4, p. 11)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.07.326"},{"key":"e_1_3_2_1_17_1","volume-title":"MeDAL: Medical abbreviation disambiguation dataset for natural language understanding pretraining. arXiv preprint arXiv:2012.13978","author":"Wen Z.","year":"2020","unstructured":"Wen , Z. , Lu , X. H. , & Reddy , S. ( 2020 ). MeDAL: Medical abbreviation disambiguation dataset for natural language understanding pretraining. arXiv preprint arXiv:2012.13978 . Wen, Z., Lu, X. H., & Reddy, S. (2020). MeDAL: Medical abbreviation disambiguation dataset for natural language understanding pretraining. arXiv preprint arXiv:2012.13978."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.21275\/v5i1.NOV153131"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Al-Tahrawi Mayy M. \"Arabic text categorization using logistic regression.\"International Journal of Intelligent Systems and Applications7 no. 6 (2015): 71.  Al-Tahrawi Mayy M. \"Arabic text categorization using logistic regression.\"International Journal of Intelligent Systems and Applications7 no. 6 (2015): 71.","DOI":"10.5815\/ijisa.2015.06.08"},{"key":"e_1_3_2_1_20_1","volume-title":"\"Text Classification and Classifiers: A Comparative Study.\" In International conference on IJEDR","author":"Undhad R.","year":"2017","unstructured":"Undhad , Payal R. , and Dharmesh J. Bhalodiya . \"Text Classification and Classifiers: A Comparative Study.\" In International conference on IJEDR , vol. 5 . 2017 . Undhad, Payal R., and Dharmesh J. Bhalodiya. \"Text Classification and Classifiers: A Comparative Study.\" In International conference on IJEDR, vol. 5. 2017."},{"key":"e_1_3_2_1_21_1","volume-title":"Bhargavi Andhavarapu, Mounika Bagadi, and Mounika Belusonti. \"Text based sentiment analysis using LSTM.\" Int. J. Eng. Res. Tech. Res 9, no. 05","author":"Murthy G. S. N.","year":"2020","unstructured":"Murthy , G. S. N. , Shanmukha Rao Allu , Bhargavi Andhavarapu, Mounika Bagadi, and Mounika Belusonti. \"Text based sentiment analysis using LSTM.\" Int. J. Eng. Res. Tech. Res 9, no. 05 ( 2020 ). Murthy, G. S. N., Shanmukha Rao Allu, Bhargavi Andhavarapu, Mounika Bagadi, and Mounika Belusonti. \"Text based sentiment analysis using LSTM.\" Int. J. Eng. Res. Tech. Res 9, no. 05 (2020)."},{"key":"e_1_3_2_1_22_1","volume-title":"Electronic and Automation Control Conference (IAEAC) (pp. 1675-1680)","author":"Zhang J.","year":"2018","unstructured":"Zhang , J. , Li , Y. , Tian , J. , & Li , T. ( 2018 , October). LSTM- CNN hybrid model for text classification. In 2018 IEEE 3rd Advanced Information Technology , Electronic and Automation Control Conference (IAEAC) (pp. 1675-1680) . IEEE. Zhang, J., Li, Y., Tian, J., & Li, T. (2018, October). LSTM- CNN hybrid model for text classification. In 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) (pp. 1675-1680). IEEE."}],"event":{"name":"IC3INA 2022: The 2022 International Conference on Computer, Control, Informatics and Its Applications","acronym":"IC3INA 2022","location":"Virtual Event Indonesia"},"container-title":["Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575882.3575907","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3575882.3575907","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:39Z","timestamp":1750182579000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575882.3575907"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,22]]},"references-count":22,"alternative-id":["10.1145\/3575882.3575907","10.1145\/3575882"],"URL":"https:\/\/doi.org\/10.1145\/3575882.3575907","relation":{},"subject":[],"published":{"date-parts":[[2022,11,22]]},"assertion":[{"value":"2023-02-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}