{"id":"https://openalex.org/W2798319431","doi":"https://doi.org/10.3233/978-1-61499-852-5-106","title":"Risk Prediction of Diabetic Nephropathy via Interpretable Feature Extraction from EHR Using Convolutional Autoencoder","display_name":"Risk Prediction of Diabetic Nephropathy via Interpretable Feature Extraction from EHR Using Convolutional Autoencoder","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798319431","doi":"https://doi.org/10.3233/978-1-61499-852-5-106","mag":"2798319431","pmid":"https://pubmed.ncbi.nlm.nih.gov/29677932"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-852-5-106","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-852-5-106","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5086948083","display_name":"Takayuki Katsuki","orcid":"https://orcid.org/0000-0002-3670-1138"},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsuki Takayuki","raw_affiliation_strings":["IBM Research - Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017418067","display_name":"Masaki Ono","orcid":"https://orcid.org/0000-0003-3104-1801"},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ono Masaki","raw_affiliation_strings":["IBM Research - Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028139321","display_name":"Akira Koseki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koseki Akira","raw_affiliation_strings":["IBM Research - Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103203636","display_name":"Michiharu Kudo","orcid":"https://orcid.org/0000-0003-1575-6305"},"institutions":[{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kudo Michiharu","raw_affiliation_strings":["IBM Research - Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research - Tokyo, Japan","institution_ids":["https://openalex.org/I4210145865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038231154","display_name":"Kyoichi Haida","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109809","display_name":"Dai-ichi Life Insurance (United States)","ror":"https://ror.org/01pe2nj10","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109809"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haida Kyoichi","raw_affiliation_strings":["Business Process Planning Department, The Dai-ichi Life Insurance Company, Limited, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Business Process Planning Department, The Dai-ichi Life Insurance Company, Limited, Japan","institution_ids":["https://openalex.org/I4210109809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110466367","display_name":"Jun Kuroda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109809","display_name":"Dai-ichi Life Insurance (United States)","ror":"https://ror.org/01pe2nj10","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109809"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuroda Jun","raw_affiliation_strings":["IT Business Process Planning Department, The Dai-ichi Life Insurance Company, Limited, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT Business Process Planning Department, The Dai-ichi Life Insurance Company, Limited, Japan","institution_ids":["https://openalex.org/I4210109809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109402683","display_name":"Masaki Makino","orcid":null},"institutions":[{"id":"https://openalex.org/I145673806","display_name":"Fujita Health University","ror":"https://ror.org/046f6cx68","country_code":"JP","type":"education","lineage":["https://openalex.org/I145673806"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makino Masaki","raw_affiliation_strings":["Division of Endocrinology and Metabolism, Department of Internal Medicine, Fujita Health University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Endocrinology and Metabolism, Department of Internal Medicine, Fujita Health University, Japan","institution_ids":["https://openalex.org/I145673806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073230160","display_name":"Ryosuke Yanagiya","orcid":null},"institutions":[{"id":"https://openalex.org/I145673806","display_name":"Fujita Health University","ror":"https://ror.org/046f6cx68","country_code":"JP","type":"education","lineage":["https://openalex.org/I145673806"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yanagiya Ryosuke","raw_affiliation_strings":["Division of Medical Information Systems, Fujita Health University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Medical Information Systems, Fujita Health University, Japan","institution_ids":["https://openalex.org/I145673806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026823194","display_name":"Atsushi Suzuki","orcid":"https://orcid.org/0000-0003-0807-199X"},"institutions":[{"id":"https://openalex.org/I145673806","display_name":"Fujita Health University","ror":"https://ror.org/046f6cx68","country_code":"JP","type":"education","lineage":["https://openalex.org/I145673806"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Suzuki Atsushi","raw_affiliation_strings":["Division of Endocrinology and Metabolism, Department of Internal Medicine, Fujita Health University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Endocrinology and Metabolism, Department of Internal Medicine, Fujita Health University, Japan","institution_ids":["https://openalex.org/I145673806"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.5653,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.98070175,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"247","issue":null,"first_page":"106","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.991599977016449,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.991599977016449,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9911999702453613,"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/T13522","display_name":"Cardiovascular Health and Risk Factors","score":0.9266999959945679,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.947187066078186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6348658800125122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5834240317344666},{"id":"https://openalex.org/keywords/diabetic-nephropathy","display_name":"Diabetic nephropathy","score":0.5744656324386597},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.5371684432029724},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.49707773327827454},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47614336013793945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45799025893211365},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4523355960845947},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38773924112319946},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3744810223579407},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.29236936569213867},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25262147188186646},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.0702238380908966}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.947187066078186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6348658800125122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5834240317344666},{"id":"https://openalex.org/C2779922275","wikidata":"https://www.wikidata.org/wiki/Q1129105","display_name":"Diabetic nephropathy","level":3,"score":0.5744656324386597},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.5371684432029724},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.49707773327827454},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47614336013793945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45799025893211365},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4523355960845947},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38773924112319946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3744810223579407},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.29236936569213867},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25262147188186646},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.0702238380908966},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012306","descriptor_name":"Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012306","descriptor_name":"Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012306","descriptor_name":"Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-852-5-106","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-852-5-106","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29677932","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29677932","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W187932805","https://openalex.org/W2909369938","https://openalex.org/W4392490004","https://openalex.org/W1641026212","https://openalex.org/W4402738807","https://openalex.org/W2911982698","https://openalex.org/W2323588885","https://openalex.org/W3047677938","https://openalex.org/W2087134418","https://openalex.org/W2078646730"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,33,55],"technology":[4],"for":[5,102],"predicting":[6],"the":[7,18,70,97,104],"aggravation":[8],"of":[9,27,58,61],"diabetic":[10],"nephropathy":[11],"from":[12,24],"electronic":[13],"health":[14,77],"record":[15],"(EHR).":[16],"For":[17],"prediction,":[19],"we":[20,85],"used":[21],"features":[22,48,99],"extracted":[23,47,98],"event":[25],"sequence":[26],"lab":[28,62],"tests":[29],"in":[30],"EHR":[31],"with":[32],"stacked":[34],"convolutional":[35],"autoencoder":[36],"which":[37],"can":[38,49],"extract":[39],"both":[40],"local":[41],"and":[42,73,95],"global":[43],"temporal":[44],"information.":[45],"The":[46],"be":[50],"interpreted":[51],"as":[52],"similarities":[53],"to":[54,68,74],"small":[56],"number":[57],"typical":[59],"sequences":[60],"tests,":[63],"that":[64,87,96],"may":[65],"help":[66],"us":[67],"understand":[69],"disease":[71],"courses":[72],"provide":[75],"detailed":[76],"guidance.":[78],"In":[79],"our":[80,88],"experiments":[81],"on":[82],"real-world":[83],"EHRs,":[84],"confirmed":[86],"approach":[89],"performed":[90],"better":[91],"than":[92],"baseline":[93],"methods":[94],"were":[100],"promising":[101],"understanding":[103],"disease.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}