{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:42:01Z","timestamp":1760708521312},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2013,3,16]],"date-time":"2013-03-16T00:00:00Z","timestamp":1363392000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2013,10]]},"DOI":"10.1007\/s10278-013-9588-5","type":"journal-article","created":{"date-parts":[[2013,3,16]],"date-time":"2013-03-16T00:19:54Z","timestamp":1363393194000},"page":"941-947","source":"Crossref","is-referenced-by-count":12,"title":["A Comprehensive Methodology for Determining the Most Informative Mammographic Features"],"prefix":"10.1007","volume":"26","author":[{"given":"Yirong","family":"Wu","sequence":"first","affiliation":[]},{"given":"Oguzhan","family":"Alagoz","sequence":"additional","affiliation":[]},{"given":"Mehmet U. S.","family":"Ayvaci","sequence":"additional","affiliation":[]},{"given":"Alejandro","family":"Munoz del Rio","sequence":"additional","affiliation":[]},{"given":"David J.","family":"Vanness","sequence":"additional","affiliation":[]},{"given":"Ryan","family":"Woods","sequence":"additional","affiliation":[]},{"given":"Elizabeth S.","family":"Burnside","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,3,16]]},"reference":[{"key":"9588_CR1","unstructured":"American College of Radiology: Breast Imaging Reporting and Data System (BI-RADS) atlas, Reston, Va., 2003"},{"key":"9588_CR2","first-page":"1548","volume":"55","author":"C D'Orsi","year":"1997","unstructured":"D'Orsi C, Kopans D: Mammography interpretation: the BI-RADS method. American Family Physician 55:1548\u20131550, 1997","journal-title":"American Family Physician"},{"key":"9588_CR3","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1016\/j.jacr.2009.07.023","volume":"6","author":"ES Burnside","year":"2009","unstructured":"Burnside ES, et al: The ACR BI-RADS experience: learning from history. J American College of Radiology 6:851\u2013860, 2009","journal-title":"J American College of Radiology"},{"key":"9588_CR4","doi-asserted-by":"crossref","first-page":"35","DOI":"10.2214\/ajr.171.1.9648759","volume":"171","author":"L Liberman","year":"1998","unstructured":"Liberman L, Abramson A, Squires F, Glassman J, Morris E, Dershaw D: The Breast Imaging Reporting and Data System: positive predictive value of mammographic features and final assessment categories. AJR Am J Roentgenol 171:35\u201340, 1998","journal-title":"AJR Am J Roentgenol"},{"key":"9588_CR5","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1177\/0272989X9101100102","volume":"11","author":"J Swets","year":"1991","unstructured":"Swets J, Getty D, Pickett R, D'Orsi C, Seltzer S, McNeil B: Enhancing and evaluating diagnostic accuracy. J Medical Decision Making 11:9\u201318, 1991","journal-title":"J Medical Decision Making"},{"key":"9588_CR6","first-page":"223","volume":"49","author":"M Berube","year":"1998","unstructured":"Berube M, Curpen B, Ugolini P, Lalonde L, Ouimet-Oliva D: Level of suspicion of a mammographic lesion: use of features defined by BI-RADS lexicon and correlation with large-core breast biopsy. Can Assoc Radiol J 49:223\u2013228, 1998","journal-title":"Can Assoc Radiol J"},{"key":"9588_CR7","first-page":"450","volume":"14","author":"A Mendez","year":"2003","unstructured":"Mendez A, Cabanillas F, Echenique M, Malekshamran K, Perez I, Ramos E: Mammographic features and correlation with biopsy findings using 11-gauge stereotactic vacuum-assisted breast biopsy (SVABB). Annals of Oncology 14:450\u2013454, 2003","journal-title":"Annals of Oncology"},{"key":"9588_CR8","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1148\/radiol.2503080541","volume":"250","author":"A Venkatesan","year":"2009","unstructured":"Venkatesan A, Chu P, Kerlikowske K, Sickles E, Smith-Bindman R: Positive predictive value of specific mammographic findings according to reader and patient variables. Radiology 250:648\u2013657, 2009","journal-title":"Radiology"},{"key":"9588_CR9","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1148\/rg.301095057","volume":"30","author":"T Ayer","year":"2010","unstructured":"Ayer T, Chhatwal J, Alagoz O, Kahn Jr, CE, Wood R, Burnside ES: Comparison of logistic regression and artificial neural network models in breast cancer risk estimation. RadioGraphics 30:13\u201322, 2010","journal-title":"RadioGraphics"},{"key":"9588_CR10","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.2214\/AJR.07.3345","volume":"192","author":"J Chhatwal","year":"2009","unstructured":"Chhatwal J, Alagoz O, Lindstrom MJ, Kahn Jr, CE, Shaffer KA, Burnside ES: A logistic regression model based on the national mammography database format to aid breast cancer diagnosis. AJR Am J Roentgenol 192:1117\u20131127, 2009","journal-title":"AJR Am J Roentgenol"},{"key":"9588_CR11","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/S1532-0464(03)00034-0","volume":"35","author":"S Dreiseitl","year":"2002","unstructured":"Dreiseitl S, Ohno-Machado L: Logistic regression and artificial neural network classification models: a methodology review. J Biomed Inform 35:352\u2013359, 2002","journal-title":"J Biomed Inform"},{"key":"9588_CR12","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1016\/S0895-4356(96)00002-9","volume":"49","author":"J Tu","year":"1996","unstructured":"Tu J: Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 49:1225\u20131231, 1996","journal-title":"J Clin Epidemiol"},{"key":"9588_CR13","volume-title":"The mathematical theory of communication","author":"C Shannon","year":"1949","unstructured":"Shannon C, Weaver W: The mathematical theory of communication. University of Illinois Press, Urbana, IL, 1949"},{"key":"9588_CR14","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1055\/s-0038-1634358","volume":"42","author":"W Benish","year":"2003","unstructured":"Benish W: Mutual information as an index of diagnostic test performance. Methods of Information in Medicine 42:260\u2013264, 2003","journal-title":"Methods of Information in Medicine"},{"key":"9588_CR15","doi-asserted-by":"crossref","first-page":"1224","DOI":"10.1093\/jnci\/djq239","volume":"102","author":"N Boyd","year":"2010","unstructured":"Boyd N, Martin L, Bronskill M, Yaffe M, Duric N, Minkin S: Breast tissue composition and susceptibility to breast cancer. J Natl Cancer Inst 102:1224\u20131237, 2010","journal-title":"J Natl Cancer Inst"},{"key":"9588_CR16","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1016\/S1470-2045(05)70390-9","volume":"6","author":"N Boyd","year":"2005","unstructured":"Boyd N, et al: Mammographic breast density as an intermediate phenotype for breast cancer. Lancet Oncol 6:798\u2013808, 2005","journal-title":"Lancet Oncol"},{"key":"9588_CR17","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1158\/1055-9965.EPI-09-0881","volume":"19","author":"L Martin","year":"2010","unstructured":"Martin L, et al: Family history, mammographic density, and risk of breast cancer. Cancer Epidemiol Biomarkers Prev 19:456\u2013463, 2010","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"key":"9588_CR18","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.2214\/ajr.126.6.1130","volume":"126","author":"J Wolfe","year":"1976","unstructured":"Wolfe J: Breast patterns as an index of risk for developing breast cancer. AJR Am J Roentgenol 126:1130\u20131137, 1976","journal-title":"AJR Am J Roentgenol"},{"key":"9588_CR19","doi-asserted-by":"crossref","first-page":"168","DOI":"10.7326\/0003-4819-138-3-200302040-00008","volume":"138","author":"P Carney","year":"2003","unstructured":"Carney P, et al: Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med 138:168\u2013175, 2003","journal-title":"Ann Intern Med"},{"key":"9588_CR20","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1093\/jnci\/92.13.1081","volume":"92","author":"M Mandelson","year":"2000","unstructured":"Mandelson M, et al: Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst 92:1081\u20131087, 2000","journal-title":"J Natl Cancer Inst"},{"key":"9588_CR21","first-page":"17","volume":"98","author":"M Foote","year":"1999","unstructured":"Foote M: Wisconsin Cancer Reporting System: a population-based registry. Wisconsin Medical Journal 98:17\u201318, 1999","journal-title":"Wisconsin Medical Journal"},{"key":"9588_CR22","first-page":"267","volume":"59","author":"T Roos","year":"2005","unstructured":"Roos T, Wettig H, Grunwald P, Myllymaki P, Tirri H: On discriminative Bayesian network classifiers and logistic regression. Machine Learning 59:267\u2013296, 2005","journal-title":"Machine Learning"},{"key":"9588_CR23","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1023\/A:1007413511361","volume":"29","author":"P Domingos","year":"1997","unstructured":"Domingos P, Pazzani M: On the optimality of the simple Bayesian classifier under zero\u2013one loss. Machine Learning 29:103\u2013130, 1997","journal-title":"Machine Learning"},{"key":"9588_CR24","doi-asserted-by":"crossref","unstructured":"Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten I: The Weka data mining software: an update. SIGKDD Explorations(11), 2009","DOI":"10.1145\/1656274.1656278"},{"key":"9588_CR25","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-4541-9","volume-title":"An Introduction to the bootstrap","author":"B Efron","year":"1993","unstructured":"Efron B, Tibshirani RJ: An Introduction to the bootstrap. Chapman & Hall, New York, 1993"},{"key":"9588_CR26","doi-asserted-by":"crossref","unstructured":"Ince R, Mazzoni A, Bartels A, Logothetis N, Panzeri S: A novel test to determine the significance of neural selectivity to single and multiple potentially correlated stimulus features. J Neuroscience Methods, 2011","DOI":"10.1016\/j.jneumeth.2011.11.013"},{"key":"9588_CR27","doi-asserted-by":"crossref","first-page":"837","DOI":"10.2307\/2531595","volume":"44","author":"E DeLong","year":"1988","unstructured":"DeLong E, DeLong D, Clarke-Pearson D: Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837\u2013845, 1988","journal-title":"Biometrics"},{"key":"9588_CR28","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon I, Elisseeff A: An Introduction to variable and feature selection. J Machine Learning Research 3:1157\u20131182, 2003","journal-title":"J Machine Learning Research"},{"key":"9588_CR29","doi-asserted-by":"crossref","first-page":"2394","DOI":"10.1118\/1.1418724","volume":"28","author":"G Tourassi","year":"2001","unstructured":"Tourassi G, Frederick E, Markey M, Floyd C: Application of the mutual information criterion for feature selection in compuet-aided diagnosis. Medical Physics 28:2394\u20132402, 2001","journal-title":"Medical Physics"},{"key":"9588_CR30","volume-title":"Breast cancer","author":"D Winchester","year":"2007","unstructured":"Winchester D, Winchester D, Hudis C, Norton L: Breast cancer. Springer, Heidelberg, 2007"},{"key":"9588_CR31","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1007\/s10278-009-9235-3","volume":"23","author":"R Woods","year":"2010","unstructured":"Woods R, Oliphant L, Shinki K, Page CD, Shavlik J, Burnside E: Validation of results from knowledge discovery: mass denisty as a predictor of breast cancer. J Digital Imaging 23:554\u2013561, 2010","journal-title":"J Digital Imaging"},{"key":"9588_CR32","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1148\/radiol.10100328","volume":"258","author":"R Woods","year":"2011","unstructured":"Woods R, Sisney G, Salkowski L, Shinki K, Lin Y, Burnside E: The mammographic density of a mass is a significant predictor of breast cancer. Radiology 258:417\u2013425, 2011","journal-title":"Radiology"},{"key":"9588_CR33","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1109\/TPAMI.2010.62","volume":"32","author":"K Balagani","year":"2010","unstructured":"Balagani K, Phoha V: On the feature selection criterion based on an approximation of multimensional mutual information. IEEE Trans Pattern Analysis and Machine Intelligence 32:1342\u20131343, 2010","journal-title":"IEEE Trans Pattern Analysis and Machine Intelligence"},{"key":"9588_CR34","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1109\/72.298224","volume":"5","author":"R Battiti","year":"1994","unstructured":"Battiti R: Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Networks 5:537\u2013550, 1994","journal-title":"IEEE Trans Neural Networks"},{"key":"9588_CR35","doi-asserted-by":"crossref","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng H, Long F, Ding C: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Analysis and Machine Intelligence 27:1226\u20131238, 2005","journal-title":"IEEE Trans Pattern Analysis and Machine Intelligence"},{"key":"9588_CR36","volume-title":"Medical decision making","author":"H Sox","year":"1988","unstructured":"Sox H, Blatt M, Higgins M, Marton K: Medical decision making. Butterworth-Heinemann, Philadelphia, 1988"}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-013-9588-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10278-013-9588-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-013-9588-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,11]],"date-time":"2019-07-11T01:26:48Z","timestamp":1562808408000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10278-013-9588-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,3,16]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2013,10]]}},"alternative-id":["9588"],"URL":"https:\/\/doi.org\/10.1007\/s10278-013-9588-5","relation":{},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,3,16]]}}}