{"id":"https://openalex.org/W2120388516","doi":"https://doi.org/10.1109/ijcnn.2010.5596693","title":"Rule extraction from neural networks for medical domains","display_name":"Rule extraction from neural networks for medical domains","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2120388516","doi":"https://doi.org/10.1109/ijcnn.2010.5596693","mag":"2120388516"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044191256","display_name":"Darren Dancey","orcid":"https://orcid.org/0000-0001-7251-8958"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Darren Dancey","raw_affiliation_strings":["Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK","Department of Computing and Mathematics, Manchester Metropolitan University, M1 5GD, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK","institution_ids":["https://openalex.org/I11983389"]},{"raw_affiliation_string":"Department of Computing and Mathematics, Manchester Metropolitan University, M1 5GD, UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008612471","display_name":"Zuhair Bandar","orcid":null},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zuhair A. Bandar","raw_affiliation_strings":["Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK","Department of Computing and Mathematics, Manchester Metropolitan University, M1 5GD, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK","institution_ids":["https://openalex.org/I11983389"]},{"raw_affiliation_string":"Department of Computing and Mathematics, Manchester Metropolitan University, M1 5GD, UK","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020271295","display_name":"David McLean","orcid":"https://orcid.org/0000-0001-7894-5176"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David McLean","raw_affiliation_strings":["Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK","Department of Computing and Mathematics, Manchester Metropolitan University, M1 5GD, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, UK","institution_ids":["https://openalex.org/I11983389"]},{"raw_affiliation_string":"Department of Computing and Mathematics, Manchester Metropolitan University, M1 5GD, UK","institution_ids":["https://openalex.org/I11983389"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044191256"],"corresponding_institution_ids":["https://openalex.org/I11983389"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81129087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7827359437942505},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7759153842926025},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6533878445625305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6483789682388306},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5750329494476318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5522093176841736},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5495039224624634},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4387666583061218},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3278355598449707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827359437942505},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7759153842926025},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6533878445625305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6483789682388306},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5750329494476318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5522093176841736},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5495039224624634},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4387666583061218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3278355598449707},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W32740994","https://openalex.org/W53470755","https://openalex.org/W177590838","https://openalex.org/W1487855905","https://openalex.org/W1508395088","https://openalex.org/W1541145887","https://openalex.org/W1547466200","https://openalex.org/W1599216479","https://openalex.org/W1614345895","https://openalex.org/W1998237413","https://openalex.org/W2023691053","https://openalex.org/W2027197837","https://openalex.org/W2041280856","https://openalex.org/W2052661232","https://openalex.org/W2062154476","https://openalex.org/W2062301117","https://openalex.org/W2063046703","https://openalex.org/W2084812512","https://openalex.org/W2086789740","https://openalex.org/W2087980543","https://openalex.org/W2106504576","https://openalex.org/W2112081648","https://openalex.org/W2113882472","https://openalex.org/W2116309862","https://openalex.org/W2119475352","https://openalex.org/W2123715374","https://openalex.org/W2125055259","https://openalex.org/W2129905273","https://openalex.org/W2142137407","https://openalex.org/W2142334564","https://openalex.org/W2154642048","https://openalex.org/W2156133368","https://openalex.org/W2170454285","https://openalex.org/W2766736793","https://openalex.org/W4233014035","https://openalex.org/W4244296837","https://openalex.org/W6602167612","https://openalex.org/W6607301666","https://openalex.org/W6632481002","https://openalex.org/W6676885637","https://openalex.org/W6682610290"],"related_works":["https://openalex.org/W1584270863","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W3036095178","https://openalex.org/W2603525251","https://openalex.org/W4366979180","https://openalex.org/W2085961337","https://openalex.org/W3113777316","https://openalex.org/W2386241395","https://openalex.org/W4246541945"],"abstract_inverted_index":{"Neural":[0],"networks":[1,26,36,86],"are":[2,8],"a":[3,68,78,100,105,112],"powerful":[4,19],"classification":[5,20],"technique":[6],"that":[7,24],"capable":[9],"of":[10,50,59,111],"discovering":[11],"complex":[12],"relationships":[13],"between":[14],"inputs":[15],"and":[16,65,107],"outputs.":[17],"This":[18,57,74],"ability":[21],"has":[22,54,61,66],"meant":[23],"neural":[25,35,85,98],"have":[27,88],"been":[28,55,67,89],"widely":[29],"applied":[30,83],"to":[31,70,84],"medical":[32,72,92],"domains.":[33],"However,":[34],"suffer":[37],"from":[38,96],"the":[39,52,71,97],"so-called":[40],"blackbox":[41],"problem:":[42],"they":[43],"predict":[44],"accurately":[45],"but":[46],"offer":[47],"no":[48],"explanation":[49,60],"how":[51],"decision":[53,101,113],"derived.":[56],"lack":[58],"limited":[62],"their":[63],"adoption":[64],"concern":[69],"community.":[73],"paper":[75],"demonstrates":[76],"ExTree":[77,94],"rule":[79],"extraction":[80],"algorithm":[81],"being":[82],"which":[87,103],"trained":[90],"on":[91],"datasets.":[93],"extracts":[95],"network":[99],"tree":[102],"is":[104],"graphical":[106],"easily":[108],"understood":[109],"representation":[110],"process.":[114]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}