{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,5]],"date-time":"2025-08-05T12:24:04Z","timestamp":1754396644923,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2014,3,28]],"date-time":"2014-03-28T00:00:00Z","timestamp":1395964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P20GM016454"],"award-info":[{"award-number":["P20GM016454"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2014,3,28]]},"DOI":"10.1145\/2638404.2638521","type":"proceedings-article","created":{"date-parts":[[2014,11,26]],"date-time":"2014-11-26T15:45:24Z","timestamp":1417016724000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Detecting bacterial vaginosis using machine learning"],"prefix":"10.1145","author":[{"given":"Yolanda S.","family":"Baker","sequence":"first","affiliation":[{"name":"North Carolina A&amp;T State University, St Greensboro, NC"}]},{"given":"Rajeev","family":"Agrawal","sequence":"additional","affiliation":[{"name":"North Carolina A&amp;T State University, St Greensboro, NC"}]},{"given":"James A.","family":"Foster","sequence":"additional","affiliation":[{"name":"University of Idaho, St Moscow, ID"}]},{"given":"Daniel","family":"Beck","sequence":"additional","affiliation":[{"name":"University of Idaho, St Moscow, ID"}]},{"given":"Gerry","family":"Dozier","sequence":"additional","affiliation":[{"name":"North Carolina A&amp;T State University, St Greensboro, NC"}]}],"member":"320","published-online":{"date-parts":[[2014,3,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0087830"},{"volume-title":"A few useful things to know about machine learning ACM","author":"Domingos P.","key":"e_1_3_2_1_2_1","unstructured":"Domingos , P. , 2012. A few useful things to know about machine learning ACM , New York , 78--87. Domingos, P., 2012. A few useful things to know about machine learning ACM, New York, 78--87."},{"key":"e_1_3_2_1_3_1","unstructured":"Hall M. A. 1999. Correlation-based feature selection for machine learning The University of Waikato.  Hall M. A. 1999. Correlation-based feature selection for machine learning The University of Waikato."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-micro-092611-150157"},{"volume-title":"HIBIT 2010: 5th International Symposium on Health Informatics and Bioinformatics IEEE","author":"Osareh A.","key":"e_1_3_2_1_5_1","unstructured":"Osareh , A. and Shadgar , B ., 2010. Machine learning techniques to diagnose breast cancer . In HIBIT 2010: 5th International Symposium on Health Informatics and Bioinformatics IEEE , Belek, Antalya, Turkey, 114--120. Osareh, A. and Shadgar, B., 2010. Machine learning techniques to diagnose breast cancer. In HIBIT 2010: 5th International Symposium on Health Informatics and Bioinformatics IEEE, Belek, Antalya, Turkey, 114--120."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Prasad B. D. C. N. Prasad P. E. S. N. K. and Sagar Y. 2011. A Comparative Study of Machine Learning Algorithms as Expert Systems in Medical Diagnosis (Asthma) Springer Berlin Heidelberg Berlin Heidelberg 570--576.  Prasad B. D. C. N. Prasad P. E. S. N. K. and Sagar Y. 2011. A Comparative Study of Machine Learning Algorithms as Expert Systems in Medical Diagnosis (Asthma) Springer Berlin Heidelberg Berlin Heidelberg 570--576.","DOI":"10.1007\/978-3-642-17857-3_56"},{"key":"e_1_3_2_1_7_1","first-page":"37","article-title":"Comparison of the amsel's composite clinical criteria and nugent's criteria for diagnosis of bacterial vaginosis:-a step towards preventing mis-diagnosis","volume":"5","author":"Rangari Amit A.","year":"2013","unstructured":"Rangari Amit , A. , Parmjit , S. , and Sharma , V. , 2013 . Comparison of the amsel's composite clinical criteria and nugent's criteria for diagnosis of bacterial vaginosis:-a step towards preventing mis-diagnosis . Journal of Advance Researches in Biological Sciences 5 , 1, 37 -- 44 . Rangari Amit, A., Parmjit, S., and Sharma, V., 2013. Comparison of the amsel's composite clinical criteria and nugent's criteria for diagnosis of bacterial vaginosis:-a step towards preventing mis-diagnosis. Journal of Advance Researches in Biological Sciences 5, 1, 37--44.","journal-title":"Journal of Advance Researches in Biological Sciences"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Ravel J. Tacket C. O. Brotman R. M. Davis C. C. Ault K. Peralta L. Forney L. J. Gajer P. Abdo Z. Schneider G. M. Koenig S. S. K. Mcculle S. L. Karlebach S. Gorle R. and Russell J. 2011. Vaginal microbiome of reproductive-age women. Proceedings of the National Academy of Sciences of the United States of America 108 Suppl 1 11 4680--4687.  Ravel J. Tacket C. O. Brotman R. M. Davis C. C. Ault K. Peralta L. Forney L. J. Gajer P. Abdo Z. Schneider G. M. Koenig S. S. K. Mcculle S. L. Karlebach S. Gorle R. and Russell J. 2011. Vaginal microbiome of reproductive-age women. Proceedings of the National Academy of Sciences of the United States of America 108 Suppl 1 11 4680--4687.","DOI":"10.1073\/pnas.1002611107"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2016039.2016092"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0037818"},{"key":"e_1_3_2_1_11_1","first-page":"10","article-title":"More Than Meets the Eye: Associations of Vaginal Bacteria with Gram Stain Morphotypes Using Molecular Phylogenetic Analysis: e78633","volume":"8","author":"Sujatha S.","year":"2013","unstructured":"Sujatha , S. , Martin , T. M. , Congzhou , L. , Frederick , A. M. , Noah , G. H. , Tina , L. F. , Kathy , J. A. , Jeanne , M. M. , and David , N. F. , 2013 . More Than Meets the Eye: Associations of Vaginal Bacteria with Gram Stain Morphotypes Using Molecular Phylogenetic Analysis: e78633 . PloS one 8 , 10 . Sujatha, S., Martin, T. M., Congzhou, L., Frederick, A. M., Noah, G. H., Tina, L. F., Kathy, J. A., Jeanne, M. M., and David, N. F., 2013. More Than Meets the Eye: Associations of Vaginal Bacteria with Gram Stain Morphotypes Using Molecular Phylogenetic Analysis: e78633. PloS one 8, 10.","journal-title":"PloS one"},{"volume-title":"Machine Learning Techniques for Diagnostic Differentiation of Mild Cognitive Impairment and Dementia. In Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence.","author":"Williams J. A.","key":"e_1_3_2_1_12_1","unstructured":"Williams , J. A. , Weakley , A. , Cook , D. J. , and Schmitter-Edgecombe , M ., 2013 . Machine Learning Techniques for Diagnostic Differentiation of Mild Cognitive Impairment and Dementia. In Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence. Williams, J. A., Weakley, A., Cook, D. J., and Schmitter-Edgecombe, M., 2013. Machine Learning Techniques for Diagnostic Differentiation of Mild Cognitive Impairment and Dementia. In Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence."},{"key":"e_1_3_2_1_13_1","unstructured":"Witten I. H. Frank E. and Hall M. A. 2011. Data mining: practical machine learning tools and techniques third edition. Morgan Kaufmann Publishers Burlington Mass.   Witten I. H. Frank E. and Hall M. A. 2011. Data mining: practical machine learning tools and techniques third edition . Morgan Kaufmann Publishers Burlington Mass."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Yau T. M. S. and Othman M. F. B. 2007. Comparison of Different Classification Techniques Using WEKA for Breast Cancer Springer Berlin Heidelberg Berlin Heidelberg 520--523.  Yau T. M. S. and Othman M. F. B. 2007. Comparison of Different Classification Techniques Using WEKA for Breast Cancer Springer Berlin Heidelberg Berlin Heidelberg 520--523.","DOI":"10.1007\/978-3-540-68017-8_131"}],"event":{"name":"ACM SE '14: ACM Southeast Regional Conference 2014","acronym":"ACM SE '14","location":"Kennesaw Georgia"},"container-title":["Proceedings of the 2014 ACM Southeast Regional Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2638404.2638521","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2638404.2638521","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:26:13Z","timestamp":1750278373000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2638404.2638521"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,28]]},"references-count":14,"alternative-id":["10.1145\/2638404.2638521","10.1145\/2638404"],"URL":"https:\/\/doi.org\/10.1145\/2638404.2638521","relation":{},"subject":[],"published":{"date-parts":[[2014,3,28]]},"assertion":[{"value":"2014-03-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}