{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,16]],"date-time":"2024-09-16T11:57:38Z","timestamp":1726487858229},"reference-count":20,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2001,10,1]],"date-time":"2001-10-01T00:00:00Z","timestamp":1001894400000},"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":[[2001,10]]},"DOI":"10.1016\/s0933-3657(01)00082-3","type":"journal-article","created":{"date-parts":[[2002,7,25]],"date-time":"2002-07-25T10:02:47Z","timestamp":1027591367000},"page":"149-169","source":"Crossref","is-referenced-by-count":186,"title":["Knowledge discovery approach to automated cardiac SPECT diagnosis"],"prefix":"10.1016","volume":"23","author":[{"given":"Lukasz A.","family":"Kurgan","sequence":"first","affiliation":[]},{"given":"Krzysztof J.","family":"Cios","sequence":"additional","affiliation":[]},{"given":"Ryszard","family":"Tadeusiewicz","sequence":"additional","affiliation":[]},{"given":"Marek","family":"Ogiela","sequence":"additional","affiliation":[]},{"given":"Lucy S.","family":"Goodenday","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0933-3657(01)00082-3_BIB1","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/BF00178308","article-title":"Quantitative analysis in single photon emission tomography (SPET)","volume":"19","author":"Blokland","year":"1992","journal-title":"Eur. J. Nuclear Med."},{"issue":"2","key":"10.1016\/S0933-3657(01)00082-3_BIB2","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1108\/03684929510146813","article-title":"An algorithm which learns multiple covers via integer linear programming, Part I \u2014 the CLILP2 algorithm","volume":"24","author":"Cios","year":"1995","journal-title":"Kybernetes"},{"key":"10.1016\/S0933-3657(01)00082-3_BIB3","doi-asserted-by":"crossref","unstructured":"Cios KJ, Goodenday LS, Shah KK, Serpen G. A novel algorithm for classification of SPECT images of a human heart. In: Proceedings of the CBMS \u201996, 1996 Jun 1\u20135; Ann Arbor.","DOI":"10.1109\/CBMS.1996.507116"},{"issue":"4\/5","key":"10.1016\/S0933-3657(01)00082-3_BIB4","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1108\/03684929710176502","article-title":"CLIP3: cover learning using integer programming","volume":"26","author":"Cios","year":"1997","journal-title":"Kybernetes"},{"key":"10.1016\/S0933-3657(01)00082-3_BIB5","doi-asserted-by":"crossref","unstructured":"Cios KJ, Pedrycz W, Swiniarski R. Data mining methods for knowledge discovery. Dordrecht: Kluwer Academic Publishers, 1998. http:\/\/www.wkap.nl\/book.htm\/0-7923-8252-8.","DOI":"10.1007\/978-1-4615-5589-6"},{"issue":"4","key":"10.1016\/S0933-3657(01)00082-3_BIB6","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/51.853478","article-title":"Diagnosing myocardial perfusion from SPECT bull\u2019s-eye maps \u2014 a knowledge discovery approach","volume":"19","author":"Cios","year":"2000","journal-title":"IEEE Eng. Med. Biol. Magazine, special issue on Med. Data Mining Knowledge Discovery"},{"key":"10.1016\/S0933-3657(01)00082-3_BIB7","unstructured":"Corbett JR. Gated blood-pool SPECT. In: DePuey ED, Berman DS, Garcia EV, editors. Cardiac SPECT imaging. New York: Raven Press, 1995."},{"issue":"2","key":"10.1016\/S0933-3657(01)00082-3_BIB8","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1006\/cviu.1996.0520","article-title":"Knowledge-based image understanding systems: a survey","volume":"67","author":"Crevier","year":"1997","journal-title":"Comput. Vision Image Understanding"},{"key":"10.1016\/S0933-3657(01)00082-3_BIB9","unstructured":"Cuaron A, Acero AP, Cardenas M, et al. Interobserver variability in the interpretation of myocardial images with Tc-99m-labeled diphosphonate. J Nuclear Med 1980;21:1."},{"key":"10.1016\/S0933-3657(01)00082-3_BIB10","unstructured":"Cullom SJ. Principles of cardiac SPECT. In: DePuey ED, Berman DS, Garcia EV, editors. Cardiac SPECT imaging. New York: Raven Press, 1995."},{"key":"10.1016\/S0933-3657(01)00082-3_BIB11","first-page":"2311","article-title":"Three-dimensional motion and perfusion quantification in gated single-photon emission computed tomograms","volume":"32","author":"Faber","year":"1991","journal-title":"J. Nuclear Med."},{"key":"10.1016\/S0933-3657(01)00082-3_BIB12","unstructured":"Faber TL, Cooke CD, Peifer JW, et al. Three-dimensional displays of left ventricular epicardial surface from standard cardiac SPECT perfusion quantification techniques. J Nuclear Med 1995;36:697\u2013703."},{"key":"10.1016\/S0933-3657(01)00082-3_BIB13","unstructured":"Fayyad U, Piatetsky-Shapiro G, Smyth P, Uturusamy R. Advances in knowledge discovery and data mining. New York: MIT Press, 1996."},{"key":"10.1016\/S0933-3657(01)00082-3_BIB14","doi-asserted-by":"crossref","unstructured":"Francisco DA, Collins SM, Go RT, et al. Tomographic thallium-201 myocardial perfusion scintigrams after maximal coronary vasodilation with intravenous dipyridamole: comparison of qualitative and quantitative approaches. Circulation 1982;66(2):370.","DOI":"10.1161\/01.CIR.66.2.370"},{"key":"10.1016\/S0933-3657(01)00082-3_BIB15","unstructured":"Garcia EV, Ezquerra NF, DePuey EG, et al. An artificial intelligence approach to interpreting thallium-201 3 dimensional myocardial distributions (abstract). J Nuclear Med 1986;27:1005."},{"key":"10.1016\/S0933-3657(01)00082-3_BIB16","first-page":"176","article-title":"Two-dimensional mapping of three-dimensional SPECT data: a preliminary step to the quantification of thallium myocardial perfusion single photon emission tomography","volume":"2","author":"Goris","year":"1987","journal-title":"Am. J. Physiol. Imaging"},{"issue":"1","key":"10.1016\/S0933-3657(01)00082-3_BIB17","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/S0933-3657(98)00063-3","article-title":"Analysing and improving the diagnosis of ischaemic heart disease with machine learning","volume":"16","author":"Kukar","year":"1999","journal-title":"Artif. Intell. Med."},{"issue":"2","key":"10.1016\/S0933-3657(01)00082-3_BIB18","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/S0933-3657(00)00043-9","article-title":"Towards dynamic cardiac scenes interpretation based on spatial-temporal knowledge","volume":"19","author":"Puentes","year":"2000","journal-title":"Artif. Intell. Med."},{"issue":"4","key":"10.1016\/S0933-3657(01)00082-3_BIB19","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/51.853485","article-title":"Issues in automating cardiac SPECT diagnosis","volume":"19","author":"P Sacha","year":"2000","journal-title":"IEEE Eng. Med. Biol. Magazine, special issue on Med. Data Mining Knowledge Discovery"},{"key":"10.1016\/S0933-3657(01)00082-3_BIB20","unstructured":"Van Train KF, Garcia EV, Cooke CD, Areeda J. Quantitative analysis of SPECT myocardial perfusion. In: DePuey ED, Berman DS, Garcia EV, editors. Cardiac SPECT imaging. New York: Raven Press, 1995."}],"container-title":["Artificial Intelligence in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0933365701000823?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0933365701000823?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,4,28]],"date-time":"2019-04-28T15:56:17Z","timestamp":1556466977000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0933365701000823"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001,10]]},"references-count":20,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2001,10]]}},"alternative-id":["S0933365701000823"],"URL":"http:\/\/dx.doi.org\/10.1016\/s0933-3657(01)00082-3","relation":{},"ISSN":["0933-3657"],"issn-type":[{"value":"0933-3657","type":"print"}],"subject":[],"published":{"date-parts":[[2001,10]]}}}