{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:42:50Z","timestamp":1728175370131},"reference-count":40,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2013,5,1]],"date-time":"2013-05-01T00:00:00Z","timestamp":1367366400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Artificial Intelligence in Medicine"],"published-print":{"date-parts":[[2013,5]]},"DOI":"10.1016\/j.artmed.2013.01.003","type":"journal-article","created":{"date-parts":[[2013,2,19]],"date-time":"2013-02-19T16:34:22Z","timestamp":1361291662000},"page":"63-72","source":"Crossref","is-referenced-by-count":131,"title":["Missing data in medical databases: Impute, delete or classify?"],"prefix":"10.1016","volume":"58","author":[{"given":"Federico","family":"Cismondi","sequence":"first","affiliation":[]},{"given":"Andr\u00e9 S.","family":"Fialho","sequence":"additional","affiliation":[]},{"given":"Susana M.","family":"Vieira","sequence":"additional","affiliation":[]},{"given":"Shane R.","family":"Reti","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o M.C.","family":"Sousa","sequence":"additional","affiliation":[]},{"given":"Stan N.","family":"Finkelstein","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.artmed.2013.01.003_bib0005","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1136\/bmj.312.7023.71","article-title":"Evidence based medicine: what it is and what it isnt","volume":"312","author":"Sackett","year":"1996","journal-title":"British Medical Journal"},{"issue":"10","key":"10.1016\/j.artmed.2013.01.003_bib0010","doi-asserted-by":"crossref","first-page":"2007","DOI":"10.1097\/00003246-200110000-00026","article-title":"Critical care delivery in the intensive care unit: defining clinical roles and the best practice model","volume":"29","author":"Brilli","year":"2001","journal-title":"Critical Care Medicine"},{"issue":"1","key":"10.1016\/j.artmed.2013.01.003_bib0015","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/TVCG.2007.70415","article-title":"Visual methods for analyzing time-oriented data","volume":"14","author":"Aigner","year":"2008","journal-title":"IEEE Transactions on Visualization and Computer Graphics"},{"issue":"4","key":"10.1016\/j.artmed.2013.01.003_bib0020","doi-asserted-by":"crossref","first-page":"548","DOI":"10.2105\/AJPH.87.4.548","article-title":"Annotation: what can be done about missing data?","volume":"87","author":"Heitjan","year":"1997","journal-title":"American Journal of Public Health"},{"journal-title":"SIAM","article-title":"Statistical models for unequally spaced time series","year":"2004","author":"Erdogan","key":"10.1016\/j.artmed.2013.01.003_bib0025"},{"key":"10.1016\/j.artmed.2013.01.003_bib0030","unstructured":"Allison PD. Missing data. Sage University papers series on quantitative applications in the social sciences. Thousand Oaks, CA: SAGE Publications; 2001."},{"key":"10.1016\/j.artmed.2013.01.003_bib0035","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1016\/S1441-2772(23)00608-7","article-title":"Written guidelines for laboratory testing in intensive care-still effective after 3 years***","volume":"3","author":"Mehari","year":"2001","journal-title":"Critical Care Resucitation"},{"key":"10.1016\/j.artmed.2013.01.003_bib0040","doi-asserted-by":"crossref","first-page":"2393b","DOI":"10.1136\/bmj.b2393","article-title":"Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls","author":"Sterne","year":"2009","journal-title":"British Journal of Medicine"},{"issue":"10","key":"10.1016\/j.artmed.2013.01.003_bib0045","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1016\/j.jclinepi.2004.11.029","article-title":"Bias arising from missing data in predictive model","volume":"59","author":"Gorelick","year":"2006","journal-title":"Journal of Clinical Epidemiology"},{"article-title":"Statistical analysis with missing data","year":"2002","author":"Little","key":"10.1016\/j.artmed.2013.01.003_bib0050","doi-asserted-by":"crossref","DOI":"10.1002\/9781119013563"},{"key":"10.1016\/j.artmed.2013.01.003_bib0055","series-title":"Knowledge discovery in advanced information systems","first-page":"200","article-title":"Trends in data mining and knowledge discovery","author":"Cios","year":"2005"},{"year":"1999","series-title":"Data preparation for data mining","author":"Pyle","key":"10.1016\/j.artmed.2013.01.003_bib0060"},{"issue":"6","key":"10.1016\/j.artmed.2013.01.003_bib0065","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/S0933-3657(03)00057-5","article-title":"Knowledge-based approach to septic shock patient data using a neural network with trapezoidal activation functions","volume":"28","author":"Paetz","year":"2003","journal-title":"Artificial Intelligence in Medicine"},{"issue":"2","key":"10.1016\/j.artmed.2013.01.003_bib0070","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/BF02368986","article-title":"Problems of medical monitoring of patients and the requirements for development of computer monitoring systems","volume":"30","author":"Kalyadin","year":"1996","journal-title":"Biomedical Engineering"},{"year":"1994","series-title":"Time series analysis","author":"Hamilton","key":"10.1016\/j.artmed.2013.01.003_bib0075"},{"key":"10.1016\/j.artmed.2013.01.003_bib0080","unstructured":"Xia H. Bayesian hierarchical model for combining two-resolution metrology data. Ph.D. dissertation, Texas A&M University; 2008."},{"issue":"2","key":"10.1016\/j.artmed.2013.01.003_bib0085","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1111\/j.1540-5907.2010.00447.x","article-title":"What to do about missing values in time-series cross-section data","volume":"54","author":"Honaker","year":"2010","journal-title":"American Journal of Political Science"},{"key":"10.1016\/j.artmed.2013.01.003_bib0090","series-title":"CIDM","first-page":"224","article-title":"Computational intelligence methods for processing misaligned, unevenly sampled time series containing missing data","author":"Cismondi","year":"2011"},{"issue":"1","key":"10.1016\/j.artmed.2013.01.003_bib0095","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1186\/1468-6708-3-4","article-title":"Problems in dealing with missing data and informative censoring in clinical trials","volume":"3","author":"Shih","year":"2002","journal-title":"Current Controlled Trials in Cardiovascular Medicine"},{"key":"10.1016\/j.artmed.2013.01.003_bib0100","series-title":"Annual meeting of the American Education Research Association","first-page":"1","article-title":"Multiple imputation for missing data: what is it and how can I use it?","author":"Wayman","year":"2003"},{"issue":"2","key":"10.1016\/j.artmed.2013.01.003_bib0105","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.artmed.2010.05.002","article-title":"Missing data imputation using statistical and machine learning methods in a real breast cancer problem","volume":"50","author":"Jerez","year":"2010","journal-title":"Artificial Intelligence in Medicine"},{"issue":"5","key":"10.1016\/j.artmed.2013.01.003_bib0110","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1093\/bib\/bbq080","article-title":"Missing value imputation for gene expression data: computational techniques to recover missing data from available information","volume":"12","author":"Liew","year":"2010","journal-title":"Briefings in Bioinformatics"},{"issue":"1","key":"10.1016\/j.artmed.2013.01.003_bib0115","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1191\/096228099666230705","article-title":"Applications of multiple imputation in medical studies: from AIDS to NHANES","volume":"8","author":"Barnard","year":"1999","journal-title":"Statistical Methods in Medical Research"},{"issue":"1","key":"10.1016\/j.artmed.2013.01.003_bib0120","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1055\/s-0038-1634462","article-title":"Robust outcome prediction for intensive-care patients","volume":"40","author":"Ramoni","year":"2001","journal-title":"Methods of Information in Medicine"},{"issue":"10","key":"10.1016\/j.artmed.2013.01.003_bib0125","first-page":"76","article-title":"Working with missing data","volume":"1","author":"Barnard","year":"1997","journal-title":"Family Science Review"},{"issue":"4","key":"10.1016\/j.artmed.2013.01.003_bib0130","first-page":"548","article-title":"Missing data in behavioural science research: investigation of a collection of data sets","volume":"87","author":"Huisman","year":"1998","journal-title":"Kuantitieve Methoden"},{"key":"10.1016\/j.artmed.2013.01.003_bib0135","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1300\/J079v15n01_04","article-title":"Multiple regression with missing data","volume":"15","author":"Orme","year":"1991","journal-title":"Journal of Social Service Research"},{"year":"2009","series-title":"User guide and documentation for the mimic ii database, version 2.1","author":"Clifford","key":"10.1016\/j.artmed.2013.01.003_bib0140"},{"issue":"1","key":"10.1016\/j.artmed.2013.01.003_bib0145","first-page":"23","article-title":"The MEDAN database","volume":"75","author":"Hanisch","year":"2003","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"10.1016\/j.artmed.2013.01.003_bib0150","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1037\/1082-989X.7.2.147","article-title":"Missing data: our view of the state of the art","volume":"7","author":"Schafer","year":"2002","journal-title":"Psychological Methods"},{"key":"10.1016\/j.artmed.2013.01.003_bib0155","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1214\/009053604000000166","article-title":"Missing at random, likelihood ignorability and model completeness","volume":"32","author":"Guobing","year":"2004","journal-title":"Annals of Statistics"},{"year":"1997","series-title":"Missing values in epidemiological studies","author":"Vach","key":"10.1016\/j.artmed.2013.01.003_bib0160"},{"year":"2002","series-title":"Fuzzy decision making in modeling and control","author":"Sousa","key":"10.1016\/j.artmed.2013.01.003_bib0165"},{"year":"1998","series-title":"Feature selection for knowledge discovery and data mining","author":"Liu","key":"10.1016\/j.artmed.2013.01.003_bib0170"},{"key":"10.1016\/j.artmed.2013.01.003_bib0175","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.ijar.2006.07.004","article-title":"Decision tree search methods in fuzzy modeling and classification","volume":"44","author":"Mendon\u00e7a","year":"2007","journal-title":"International Journal of Approximate Reasoning"},{"key":"10.1016\/j.artmed.2013.01.003_bib0180","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/BF01897163","article-title":"A study of standardization of variables in cluster analysis","volume":"5","author":"Milligan","year":"1988","journal-title":"Journal of Classification"},{"key":"10.1016\/j.artmed.2013.01.003_bib0185","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","article-title":"Fuzzy identification of systems and its applications to modelling and control","volume":"15","author":"Takagi","year":"1985","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"},{"key":"10.1016\/j.artmed.2013.01.003_bib0190","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.cmpb.2003.09.001","article-title":"Data quality aspects of a database for abdominal septic shock patients","volume":"75","author":"Paetz","year":"2004","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"10.1016\/j.artmed.2013.01.003_bib0195","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1001\/jama.1994.03520130087038","article-title":"Modelling the severity of illness of ICU patients: a systems update","volume":"272","author":"Lemeshow","year":"1994","journal-title":"Journal of American Medical Association"},{"key":"10.1016\/j.artmed.2013.01.003_bib0200","doi-asserted-by":"crossref","unstructured":"Gelman A, Hill J. Data analysis using regression and multilevel\/hierarchical models. Analytical methods for social research. Cambridge:Cambridge University Press; 2007.","DOI":"10.1017\/CBO9780511790942"}],"container-title":["Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0933365713000055?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0933365713000055?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T06:19:39Z","timestamp":1714976379000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0933365713000055"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,5]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,5]]}},"alternative-id":["S0933365713000055"],"URL":"https:\/\/doi.org\/10.1016\/j.artmed.2013.01.003","relation":{},"ISSN":["0933-3657"],"issn-type":[{"type":"print","value":"0933-3657"}],"subject":[],"published":{"date-parts":[[2013,5]]}}}