{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:33:24Z","timestamp":1750221204910,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":64,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,18]],"date-time":"2018-06-18T00:00:00Z","timestamp":1529280000000},"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":[[2018,6,18]]},"DOI":"10.1145\/3209626.3209706","type":"proceedings-article","created":{"date-parts":[[2018,6,13]],"date-time":"2018-06-13T18:21:21Z","timestamp":1528914081000},"page":"99-106","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Predictive Method to Determine Incomplete Electronic Medical Records"],"prefix":"10.1145","author":[{"given":"Amir","family":"Talaei-Khoei","sequence":"first","affiliation":[{"name":"University of Nevada Reno & University of Technology Sydney, Reno, NV, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luvai F.","family":"Motiwalla","sequence":"additional","affiliation":[{"name":"University of Massachusetts Lowell, Lowell, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S. Farzan","family":"Kazemi","sequence":"additional","affiliation":[{"name":"University of Nevada Reno, Reno, NV, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,6,18]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Petr Va\u0148hara, Ale\u0161 Hampl, and Josef Havel.","author":"Amato Filippo","year":"2013","unstructured":"Filippo Amato , Alberto L\u00f3pez , Eladia Mar\u00eda Pe\u00f1a-M\u00e9ndez , Petr Va\u0148hara, Ale\u0161 Hampl, and Josef Havel. 2013 . Artificial neural networks in medical diagnosis. Elsevier . Filippo Amato, Alberto L\u00f3pez, Eladia Mar\u00eda Pe\u00f1a-M\u00e9ndez, Petr Va\u0148hara, Ale\u0161 Hampl, and Josef Havel. 2013. Artificial neural networks in medical diagnosis. Elsevier."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M1087"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.2147\/COPD.S1857"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0895-4356(01)00372-9"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.09.038"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1568-4946(03)00003-6"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.05.051"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.02.022"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143865"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2013.01.003"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2016.10.005"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2016.02.007"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1890\/0012-9658(2000)081[3178:CARTAP]2.0.CO;2"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.114"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23135-8_18"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocw042"},{"key":"e_1_3_2_1_17_1","volume-title":"Mohammad Amin Sobati, and Salman Movahedirad","author":"Heidari Elham","year":"2016","unstructured":"Elham Heidari , Mohammad Amin Sobati, and Salman Movahedirad . 2016 . Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN). Chemom. Intell. Lab. Syst . 155, (2016), 73--85. Elham Heidari, Mohammad Amin Sobati, and Salman Movahedirad. 2016. Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN). Chemom. Intell. Lab. Syst. 155, (2016), 73--85."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.1997.0040342"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.03.009"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.05.033"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.02.045"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2010.05.002"},{"key":"e_1_3_2_1_23_1","volume-title":"Supplement C (February","author":"Jurado Sergio","year":"2017","unstructured":"Sergio Jurado , \u00c0ngela Nebot , Fransisco Mugica , and Mihail Mihaylov . 2017. Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application. Appl. Soft Comput. 51 , Supplement C (February 2017 ), 225--238. Sergio Jurado, \u00c0ngela Nebot, Fransisco Mugica, and Mihail Mihaylov. 2017. Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application. Appl. Soft Comput. 51, Supplement C (February 2017), 225--238."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000439"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.902"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339604"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2012.10.001"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2007.06.001"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.10.013"},{"key":"e_1_3_2_1_30_1","article-title":"Data Completeness in Healthcare: A Literature Survey","volume":"9","author":"Liu Caihua","year":"2017","unstructured":"Caihua Liu , Amir Talaei-Khoei , Didar Zowghi , and Jay Daniel . 2017 . Data Completeness in Healthcare: A Literature Survey . Pac. Asia J. Assoc. Inf. Syst. 9 , 2 (2017). Caihua Liu, Amir Talaei-Khoei, Didar Zowghi, and Jay Daniel. 2017. Data Completeness in Healthcare: A Literature Survey. Pac. Asia J. Assoc. Inf. Syst. 9, 2 (2017).","journal-title":"Pac. Asia J. Assoc. Inf. Syst."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-016-1659-x"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the AMIA Symposium, 408","author":"Logan Judith R.","year":"2001","unstructured":"Judith R. Logan , Paul N. Gorman , and Blackford Middleton . 2001 . Measuring the quality of medical records: a method for comparing completeness and correctness of clinical encounter data . In Proceedings of the AMIA Symposium, 408 . Judith R. Logan, Paul N. Gorman, and Blackford Middleton. 2001. Measuring the quality of medical records: a method for comparing completeness and correctness of clinical encounter data. In Proceedings of the AMIA Symposium, 408."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocw021"},{"key":"e_1_3_2_1_34_1","volume-title":"Verdun","author":"Marshall Alan G.","year":"2016","unstructured":"Alan G. Marshall and Francis R . Verdun . 2016 . Fourier transforms in NMR, optical, and mass spectrometry: a user's handbook. Elsevier . Alan G. Marshall and Francis R. Verdun. 2016. Fourier transforms in NMR, optical, and mass spectrometry: a user's handbook. Elsevier."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.09.023"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1093\/mnras\/stt536"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.06.050"},{"volume-title":"Not all answers are equally good: Estimating the quality of database answers","author":"Motro Amihai","key":"e_1_3_2_1_38_1","unstructured":"Amihai Motro and Igor Rakov . 1997. Not all answers are equally good: Estimating the quality of database answers . Springer . Amihai Motro and Igor Rakov. 1997. Not all answers are equally good: Estimating the quality of database answers. Springer."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2011.11.006"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2003.12.005"},{"key":"e_1_3_2_1_41_1","first-page":"1","article-title":"A Multilayer Perceptron Artificial Neural Networks Based a Preprocessing and Hybrid Optimization Task for Data Mining and","volume":"5","author":"Ncibi Kais","year":"2017","unstructured":"Kais Ncibi , Tarek Sadraoui , Mili Faycel , and Amor Djenina . 2017 . A Multilayer Perceptron Artificial Neural Networks Based a Preprocessing and Hybrid Optimization Task for Data Mining and Classification. Int. J. Econom. Financ. Manag. Int. J. Econom. Financ. Manag. 5 , 1 (March 2017), 12--21. Kais Ncibi, Tarek Sadraoui, Mili Faycel, and Amor Djenina. 2017. A Multilayer Perceptron Artificial Neural Networks Based a Preprocessing and Hybrid Optimization Task for Data Mining and Classification. Int. J. Econom. Financ. Manag. Int. J. Econom. Financ. Manag. 5, 1 (March 2017), 12--21.","journal-title":"Classification. Int. J. Econom. Financ. Manag. Int. J. Econom. Financ. Manag."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.03.022"},{"key":"e_1_3_2_1_43_1","volume-title":"APT: Approximate Period Detection in Time Series. In SEKE, 490--494.","author":"Otunba Rasaq","year":"2014","unstructured":"Rasaq Otunba and Jessica Lin . 2014 . APT: Approximate Period Detection in Time Series. In SEKE, 490--494. Rasaq Otunba and Jessica Lin. 2014. APT: Approximate Period Detection in Time Series. In SEKE, 490--494."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.01.046"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(98)00027-X"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2004-2741"},{"key":"e_1_3_2_1_47_1","volume-title":"Influence of Data Distribution in Missing Data Imputation. In Conference on Artificial Intelligence in Medicine in Europe, 285--294","author":"Santos Miriam Seoane","year":"2017","unstructured":"Miriam Seoane Santos , Jastin Pompeu Soares , Pedro Henriques Abreu , H\u00e9lder Ara\u00fajo , and Jo\u00e3o Santos . 2017 . Influence of Data Distribution in Missing Data Imputation. In Conference on Artificial Intelligence in Medicine in Europe, 285--294 . Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, H\u00e9lder Ara\u00fajo, and Jo\u00e3o Santos. 2017. Influence of Data Distribution in Missing Data Imputation. In Conference on Artificial Intelligence in Medicine in Europe, 285--294."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000461"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1037\/1082-989X.7.2.147"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2011.08.026"},{"key":"e_1_3_2_1_51_1","volume-title":"AMIA Annual Symposium Proceedings, 1318","author":"Sperrin Matthew","year":"2011","unstructured":"Matthew Sperrin , Sarah Thew , James Weatherall , William Dixon , and Iain Buchan . 2011 . Quantifying the longitudinal value of healthcare record collections for pharmacoepidemiology . In AMIA Annual Symposium Proceedings, 1318 . Matthew Sperrin, Sarah Thew, James Weatherall, William Dixon, and Iain Buchan. 2011. Quantifying the longitudinal value of healthcare record collections for pharmacoepidemiology. In AMIA Annual Symposium Proceedings, 1318."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Dan Steinberg and Phillip Colla. 2009. C&RT: classification and regression trees. Top Ten Algorithms Data Min. 9 (2009) 179.  Dan Steinberg and Phillip Colla. 2009. C&RT: classification and regression trees. Top Ten Algorithms Data Min. 9 (2009) 179.","DOI":"10.1201\/9781420089653.ch10"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.11.007"},{"volume-title":"Machine Learning Models and Algorithms for Big Data Classification","author":"Suthaharan Shan","key":"e_1_3_2_1_54_1","unstructured":"Shan Suthaharan . 2016. Support vector machine . In Machine Learning Models and Algorithms for Big Data Classification . Springer , 207--235. Shan Suthaharan. 2016. Support vector machine. In Machine Learning Models and Algorithms for Big Data Classification. Springer, 207--235."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2011.451"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.09.040"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972757.40"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1038\/ctg.2013.19"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2013.06.010"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2011-000681"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2015.06.011"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.5555\/2841440.2841466"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2011.05.004"},{"volume-title":"Juran's Quality Control Handbook","author":"Ziegel Eric R.","key":"e_1_3_2_1_64_1","unstructured":"Eric R. Ziegel . 1990. Juran's Quality Control Handbook . Taylor & Francis Group . Eric R. Ziegel. 1990. Juran's Quality Control Handbook. Taylor & Francis Group."}],"event":{"name":"SIGMIS-CPR '18: 2018 Computers and People Research Conference","sponsor":["SIGMIS ACM Special Interest Group on Management Information Systems"],"location":"Buffalo-Niagara Falls NY USA","acronym":"SIGMIS-CPR '18"},"container-title":["Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3209626.3209706","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3209626.3209706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:32Z","timestamp":1750210772000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3209626.3209706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,18]]},"references-count":64,"alternative-id":["10.1145\/3209626.3209706","10.1145\/3209626"],"URL":"https:\/\/doi.org\/10.1145\/3209626.3209706","relation":{},"subject":[],"published":{"date-parts":[[2018,6,18]]},"assertion":[{"value":"2018-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}