{"id":"https://openalex.org/W2594495347","doi":"https://doi.org/10.1109/access.2017.2677458","title":"A Jacobian Matrix-Based Learning Machine and Its Applications in Medical Diagnosis","display_name":"A Jacobian Matrix-Based Learning Machine and Its Applications in Medical Diagnosis","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2594495347","doi":"https://doi.org/10.1109/access.2017.2677458","mag":"2594495347"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2677458","doi":"https://doi.org/10.1109/access.2017.2677458","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2677458","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2677458","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083339136","display_name":"Mu\u2010Chun Su","orcid":"https://orcid.org/0000-0003-1263-9912","observed_orcids":["https://orcid.org/0000-0003-1263-9912"]},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mu-Chun Su","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058676677","display_name":"Yi\u2010Zeng Hsieh","orcid":"https://orcid.org/0000-0002-5758-4516","observed_orcids":["https://orcid.org/0000-0002-5758-4516","https://orcid.org/0000-0002-3501-3982"]},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Zeng Hsieh","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5758-4516","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009569460","display_name":"Chen\u2010Hsu Wang","orcid":"https://orcid.org/0000-0002-5077-1212","observed_orcids":["https://orcid.org/0000-0002-5077-1212"]},"institutions":[{"id":"https://openalex.org/I4210129488","display_name":"Cathay General Hospital","ror":"https://ror.org/03c8c9n80","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210129488"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chen-Hsu Wang","raw_affiliation_strings":["Medical Intensive Care Unit, Cathay General Hospital, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Intensive Care Unit, Cathay General Hospital, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210129488"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032855061","display_name":"Pa\u2010Chun Wang","orcid":"https://orcid.org/0000-0002-6288-9218","observed_orcids":["https://orcid.org/0000-0002-6288-9218"]},"institutions":[{"id":"https://openalex.org/I4210129488","display_name":"Cathay General Hospital","ror":"https://ror.org/03c8c9n80","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210129488"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pa-Chun Wang","raw_affiliation_strings":["Quality Management Center, Cathay General Hospital, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality Management Center, Cathay General Hospital, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210129488"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":0.4328,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67097648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"5","issue":null,"first_page":"20036","last_page":"20045"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9916999936103821,"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/T10320","display_name":"Neural Networks and Applications","score":0.9916999936103821,"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/T12676","display_name":"Machine Learning and ELM","score":0.00419999985024333,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/network-structure-learning","display_name":"network structure learning","score":0.875},{"id":"https://openalex.org/keywords/incremental-network-construction","display_name":"incremental network construction","score":0.9279999732971191},{"id":"https://openalex.org/keywords/diagnosis","display_name":"diagnosis","score":0.7730000019073486},{"id":"https://openalex.org/keywords/explainable-neural-networks","display_name":"explainable neural networks","score":0.6010000109672546}],"concepts":[{"id":"https://openalex.org/C200331156","wikidata":"https://www.wikidata.org/wiki/Q506041","display_name":"Jacobian matrix and determinant","level":2,"score":0.8467655181884766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7588294744491577},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7091391086578369},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.661120593547821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6482756733894348},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5709944367408752},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5705491304397583},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4888545870780945},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4267590045928955},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4148675799369812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1375122368335724},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2677458","doi":"https://doi.org/10.1109/access.2017.2677458","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2677458","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ae055b86491149aeacdc6b90381dd139","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/ae055b86491149aeacdc6b90381dd139","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 20036-20045 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2677458","doi":"https://doi.org/10.1109/access.2017.2677458","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2677458","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5620705844","display_name":"The Development of Kinect-Based Rehabilitation Systems","funder_award_id":"MOST104-2221-E008-074-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7297347930","display_name":"An intelligent partner for the blind(1/3)","funder_award_id":"MOST105-2218-E008-014","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1576064560","https://openalex.org/W1974873560","https://openalex.org/W1980713635","https://openalex.org/W1986252215","https://openalex.org/W1994495984","https://openalex.org/W1996773027","https://openalex.org/W1996870625","https://openalex.org/W2000566182","https://openalex.org/W2007187232","https://openalex.org/W2008384254","https://openalex.org/W2011695552","https://openalex.org/W2020898422","https://openalex.org/W2026032095","https://openalex.org/W2026131661","https://openalex.org/W2036338730","https://openalex.org/W2040604977","https://openalex.org/W2042184006","https://openalex.org/W2046148623","https://openalex.org/W2064275911","https://openalex.org/W2071637551","https://openalex.org/W2079083604","https://openalex.org/W2079519845","https://openalex.org/W2084347670","https://openalex.org/W2084812512","https://openalex.org/W2092762545","https://openalex.org/W2111072639","https://openalex.org/W2112821641","https://openalex.org/W2124463833","https://openalex.org/W2128349740","https://openalex.org/W2130257014","https://openalex.org/W2134603844","https://openalex.org/W2141695047","https://openalex.org/W2156060469","https://openalex.org/W2165427196","https://openalex.org/W2166280719","https://openalex.org/W2994577865","https://openalex.org/W3142596171","https://openalex.org/W4293242440","https://openalex.org/W6677831684"],"related_works":["https://openalex.org/W2116621978","https://openalex.org/W2441190921","https://openalex.org/W7097420837","https://openalex.org/W2163577891","https://openalex.org/W585311045","https://openalex.org/W2142250355","https://openalex.org/W2169389444","https://openalex.org/W1983729047","https://openalex.org/W7099005200","https://openalex.org/W7098577641"],"abstract_inverted_index":{"Owing":[0],"to":[1,31,75,80,104,118,122],"many":[2],"appealing":[3,29,78],"properties,":[4],"neural":[5,20],"networks":[6,21],"provide":[7,28,76,114],"a":[8,91,98,131],"natural":[9],"basis":[10],"for":[11,155],"solving":[12],"different":[13],"kinds":[14,55,84],"of":[15,19,34,56,85,90,159],"problems.":[16],"The":[17,87],"performance":[18,158],"greatly":[22],"depends":[23],"on":[24,126],"whether":[25],"they":[26],"can":[27,58,93,113],"solutions":[30],"the":[32,35,39,46,50,69,81,107,127,157,160],"problems":[33],"parameter":[36],"learning":[37,48,57,72,100],"(i.e.,":[38,49],"connecting":[40],"weights":[41],"in":[42,130],"each":[43],"layer)":[44],"and":[45,97,144],"structure":[47,89],"network":[51,88,109],"structure).":[52],"These":[53],"two":[54,83],"be":[59,94],"performed":[60],"simultaneously":[61],"or":[62],"separately.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,112],"proposed":[68,103,161],"Jacobian":[70],"matrix-based":[71],"machine":[73],"(JMLM)":[74],"an":[77,145],"solution":[79],"aforementioned":[82],"learning.":[86],"JMLM":[92],"incrementally":[95],"constructed":[96],"Jacobian-matrix-based":[99],"method":[101],"is":[102],"efficiently":[105],"estimate":[106],"corresponding":[108],"parameters.":[110],"Furthermore,":[111],"physically":[115],"meaningful":[116],"explanations":[117],"help":[119],"human":[120],"analyzers":[121],"make":[123],"decisions":[124],"based":[125],"parameters":[128],"embedded":[129],"trained":[132],"JMLM.":[133,162],"One":[134],"2-D":[135],"artificial":[136],"data":[137,142,151],"set,":[138,143],"one":[139],"benchmark":[140],"medical":[141],"intensive":[146],"care":[147],"unit":[148],"survival":[149],"prediction":[150],"set":[152],"were":[153],"used":[154],"demonstrating":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2017-03-16T00:00:00"}
