{"id":"https://openalex.org/W2136390670","doi":"https://doi.org/10.1109/coase.2007.4341714","title":"Fuzzy Filtering for an Intelligent Interpretation of Medical Data","display_name":"Fuzzy Filtering for an Intelligent Interpretation of Medical Data","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2136390670","doi":"https://doi.org/10.1109/coase.2007.4341714","mag":"2136390670"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2007.4341714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2007.4341714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"},"type":"conference-paper","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/A5046933902","display_name":"Mohit Kumar","orcid":"https://orcid.org/0000-0002-3355-8815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohit Kumar","raw_affiliation_strings":["Center for Life Science and Automation, Rostock, Germany","Center for Life Sci. Autom., Rostock"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Life Science and Automation, Rostock, Germany","institution_ids":[]},{"raw_affiliation_string":"Center for Life Sci. Autom., Rostock","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113701752","display_name":"Norbert Stoll","orcid":null},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Norbert Stoll","raw_affiliation_strings":["Institute of Automation, University of Rostock, Rostock, Germany","Institute of Automation, University of Rostock, Richard-Wagner-Str. 31, D-18119 Rostock, Germany. norbert.stoll@uni-rostock.de"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]},{"raw_affiliation_string":"Institute of Automation, University of Rostock, Richard-Wagner-Str. 31, D-18119 Rostock, Germany. norbert.stoll@uni-rostock.de","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075585171","display_name":"David Kaber","orcid":"https://orcid.org/0000-0003-3413-1503"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Kaber","raw_affiliation_strings":["Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, Raleigh, NC, USA","Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, 400 Daniels Hall, Raleigh, NC 27695-7906 dbkaber@ncsu.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, Raleigh, NC, USA","institution_ids":["https://openalex.org/I137902535"]},{"raw_affiliation_string":"Edward P. Fitts Department of Industrial & Systems Engineering, North Carolina State University, 400 Daniels Hall, Raleigh, NC 27695-7906 dbkaber@ncsu.edu","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044522153","display_name":"Kerstin Thurow","orcid":"https://orcid.org/0000-0002-3281-1065"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kerstin Thurow","raw_affiliation_strings":["Institute of Automation, University of Rostock, Rostock, Germany","Institute of Automation, University of Rostock, Richard.-Wagner-Str. 31, D-18119 Rostock, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]},{"raw_affiliation_string":"Institute of Automation, University of Rostock, Richard.-Wagner-Str. 31, D-18119 Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090279468","display_name":"Regina Stoll","orcid":"https://orcid.org/0000-0003-2800-5252"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Regina Stoll","raw_affiliation_strings":["Institute of Preventive Medicine, Faculty of Medicine, University of Rostock, Rostock, Germany","Institute of Automation, University of Rostock, Richard-Wagner-Str. 31, D-18119 Rostock, Germany. norbert.stoll@uni-rostock.de"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Preventive Medicine, Faculty of Medicine, University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]},{"raw_affiliation_string":"Institute of Automation, University of Rostock, Richard-Wagner-Str. 31, D-18119 Rostock, Germany. norbert.stoll@uni-rostock.de","institution_ids":["https://openalex.org/I4665924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"225","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9842000007629395,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9340000152587891,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.786906361579895},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.7498124241828918},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6585736274719238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287765502929688},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.578140914440155},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5259050130844116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5021309852600098},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4790724217891693},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4455573558807373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33695805072784424},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3366793990135193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10497626662254333}],"concepts":[{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.786906361579895},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7498124241828918},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6585736274719238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287765502929688},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.578140914440155},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5259050130844116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5021309852600098},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4790724217891693},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4455573558807373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33695805072784424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3366793990135193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10497626662254333},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2007.4341714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2007.4341714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Automation Science and Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W39658199","https://openalex.org/W292405675","https://openalex.org/W1560688497","https://openalex.org/W1679913846","https://openalex.org/W1966213225","https://openalex.org/W1973302347","https://openalex.org/W1973309770","https://openalex.org/W1989665358","https://openalex.org/W1999270648","https://openalex.org/W2011639029","https://openalex.org/W2012299073","https://openalex.org/W2019624964","https://openalex.org/W2020647418","https://openalex.org/W2023429710","https://openalex.org/W2026241002","https://openalex.org/W2031319431","https://openalex.org/W2032488326","https://openalex.org/W2034766557","https://openalex.org/W2039536988","https://openalex.org/W2041280856","https://openalex.org/W2060494994","https://openalex.org/W2061442504","https://openalex.org/W2081282960","https://openalex.org/W2082284151","https://openalex.org/W2103414828","https://openalex.org/W2108489813","https://openalex.org/W2116171417","https://openalex.org/W2117446031","https://openalex.org/W2129629388","https://openalex.org/W2132847188","https://openalex.org/W2133589238","https://openalex.org/W2149668177","https://openalex.org/W2150888205","https://openalex.org/W2156415214","https://openalex.org/W2166813136","https://openalex.org/W2285072859","https://openalex.org/W4233391551","https://openalex.org/W4237834231","https://openalex.org/W4245176872"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1001352512","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W135622916"],"abstract_inverted_index":{"This":[0],"study":[1,102],"is":[2,88,110,147],"concerned":[3],"with":[4,114],"an":[5,64],"intelligent":[6],"interpretation":[7,34,65,71],"of":[8,42,66,107,127,138,143,150],"medical":[9],"data":[10,23,33,68,119],"in":[11,20,32,118],"the":[12,22,46,58,67,70,76,86,104,115,136,144,148,151],"sense":[13],"that":[14,103],"involved":[15,117],"complexities":[16],"and":[17],"uncertainties":[18,31,116],"(arising":[19],"understanding":[21],"behavior)":[24],"are":[25],"properly":[26],"(i.e.":[27],"mathematically)":[28],"handled.":[29],"The":[30,60,140],"may":[35],"arise":[36],"due":[37,44,123],"to":[38,45,55,124],"e.g.":[39],"different":[40,47],"behavior":[41],"individuals":[43],"body":[48],"conditions.":[49],"We":[50],"use":[51],"a":[52,79,91,99],"fuzzy":[53,61,80,108,145],"model":[54,62,81],"filter":[56,84,146],"out":[57,85],"uncertainties.":[59,77,139],"provides":[63],"without":[69],"results":[72],"being":[73],"affected":[74],"by":[75],"Such":[78],"(that":[82],"could":[83,132],"uncertainties)":[87],"identified":[89],"using":[90],"robust":[92],"identification":[93],"algorithm.":[94],"It":[95],"was":[96],"demonstrated":[97],"through":[98],"real-world":[100],"case":[101],"proposed":[105],"approach":[106],"filtering":[109,137],"suitable":[111],"for":[112,135],"dealing":[113],"interpretation.":[120],"Fuzzy":[121],"models,":[122],"their":[125],"capability":[126],"approximating":[128],"nonlinear":[129],"input-output":[130],"mappings,":[131],"be":[133],"exploited":[134],"efficient":[141],"design":[142],"bottleneck":[149],"approach.":[152]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}