{"id":"https://openalex.org/W3139519150","doi":"https://doi.org/10.1109/ichi48887.2020.9374390","title":"Higher-order Networks of Diabetes Comorbidities: Disease Trajectories that Matter","display_name":"Higher-order Networks of Diabetes Comorbidities: Disease Trajectories that Matter","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3139519150","doi":"https://doi.org/10.1109/ichi48887.2020.9374390","mag":"3139519150"},"language":"en","primary_location":{"id":"doi:10.1109/ichi48887.2020.9374390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi48887.2020.9374390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Healthcare Informatics (ICHI)","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/A5081572309","display_name":"Steven J. Krieg","orcid":"https://orcid.org/0000-0003-4819-9541"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Steven J. Krieg","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078696624","display_name":"D. H. Robertson","orcid":"https://orcid.org/0000-0002-8774-0890"},"institutions":[{"id":"https://openalex.org/I2802732410","display_name":"Indiana Biosciences Research Institute","ror":"https://ror.org/04d52p729","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802732410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel H. Robertson","raw_affiliation_strings":["Indiana Biosciences Research Institute, Indianapolis, IN"],"affiliations":[{"raw_affiliation_string":"Indiana Biosciences Research Institute, Indianapolis, IN","institution_ids":["https://openalex.org/I2802732410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029457488","display_name":"Meeta Pradhan","orcid":"https://orcid.org/0000-0003-4450-1897"},"institutions":[{"id":"https://openalex.org/I2802732410","display_name":"Indiana Biosciences Research Institute","ror":"https://ror.org/04d52p729","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2802732410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meeta P. Pradhan","raw_affiliation_strings":["Indiana Biosciences Research Institute, Indianapolis, IN"],"affiliations":[{"raw_affiliation_string":"Indiana Biosciences Research Institute, Indianapolis, IN","institution_ids":["https://openalex.org/I2802732410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068157871","display_name":"Nitesh V. Chawla","orcid":"https://orcid.org/0000-0003-3932-5956"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nitesh V. Chawla","raw_affiliation_strings":["University of Notre Dame, Notre Dame, IN"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, Notre Dame, IN","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081572309"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.4971,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.63554116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7497802972793579},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.676043689250946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6397265791893005},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5838810205459595},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5748826265335083},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.525945246219635},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4594148099422455},{"id":"https://openalex.org/keywords/comorbidity","display_name":"Comorbidity","score":0.43121224641799927},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41586458683013916},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.41140228509902954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.403171181678772},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3887079954147339},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.382919043302536},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18488043546676636},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08293169736862183},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.08028706908226013},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07996952533721924}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7497802972793579},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.676043689250946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6397265791893005},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5838810205459595},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5748826265335083},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.525945246219635},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4594148099422455},{"id":"https://openalex.org/C2779159551","wikidata":"https://www.wikidata.org/wiki/Q1414874","display_name":"Comorbidity","level":2,"score":0.43121224641799927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41586458683013916},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.41140228509902954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.403171181678772},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3887079954147339},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.382919043302536},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18488043546676636},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08293169736862183},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.08028706908226013},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07996952533721924},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/ichi48887.2020.9374390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi48887.2020.9374390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W11731714","https://openalex.org/W89483954","https://openalex.org/W1839682376","https://openalex.org/W1854214752","https://openalex.org/W2021046139","https://openalex.org/W2043251685","https://openalex.org/W2068234084","https://openalex.org/W2086848753","https://openalex.org/W2124209874","https://openalex.org/W2127048411","https://openalex.org/W2149160008","https://openalex.org/W2152415104","https://openalex.org/W2157547297","https://openalex.org/W2170003550","https://openalex.org/W2171772496","https://openalex.org/W2247894828","https://openalex.org/W2265944008","https://openalex.org/W2298208730","https://openalex.org/W2321942568","https://openalex.org/W2338140116","https://openalex.org/W2400343779","https://openalex.org/W2439879183","https://openalex.org/W2493614923","https://openalex.org/W2548940529","https://openalex.org/W2592860192","https://openalex.org/W2749601635","https://openalex.org/W2754890768","https://openalex.org/W2778000855","https://openalex.org/W2900628320","https://openalex.org/W2924173387","https://openalex.org/W2964707913","https://openalex.org/W3100932158","https://openalex.org/W3102641634","https://openalex.org/W4294327662","https://openalex.org/W6603637992","https://openalex.org/W6639055396","https://openalex.org/W6703556161","https://openalex.org/W6747072605"],"related_works":["https://openalex.org/W2106626222","https://openalex.org/W2468279273","https://openalex.org/W2980866815","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W1562405179","https://openalex.org/W2103419012","https://openalex.org/W2125493559","https://openalex.org/W1544909909","https://openalex.org/W2541484068"],"abstract_inverted_index":{"Networks":[0],"are":[1],"powerful":[2],"and":[3,11,78,94,137,143],"flexible":[4],"structures":[5],"for":[6,150],"modeling":[7],"relationships":[8,38,57,84],"in":[9,15,58,134],"medical":[10],"biological":[12],"systems,":[13],"but":[14],"a":[16,25,28,86,117],"traditional":[17,127],"first-order":[18,128],"network":[19],"representation,":[20],"an":[21],"edge":[22],"typically":[23],"expresses":[24],"relationship":[26],"between":[27,39],"single":[29],"pair":[30],"of":[31,41,48,98,105,121,147,154],"nodes.":[32],"In":[33,89],"order":[34],"to":[35],"analyze":[36,132],"complex":[37,83],"groups":[40],"nodes,":[42],"researchers":[43],"rely":[44],"on":[45,64],"combined":[46],"sets":[47],"these":[49,148],"pairwise":[50,76],"connections,":[51],"which":[52],"can":[53,80],"misrepresent":[54],"the":[55,59,65,69,75,103,122,145,151],"true":[56],"underlying":[60,123],"data.":[61],"Higher-order":[62],"networks,":[63],"other":[66],"hand,":[67],"capture":[68],"higher-order":[70,96,114],"dependencies":[71],"that":[72,113],"go":[73],"beyond":[74],"interactions,":[77],"thus":[79],"encode":[81],"more":[82,118],"within":[85],"familiar":[87],"structure.":[88],"this":[90],"study,":[91],"we":[92],"created":[93],"analyzed":[95],"networks":[97,115],"disease":[99,124],"trajectories":[100,125],"generated":[101],"from":[102],"records":[104],"913,475":[106],"type":[107],"2":[108],"diabetes":[109],"patients.":[110],"We":[111,130],"show":[112],"provide":[116],"accurate":[119],"representation":[120],"than":[126],"networks.":[129,156],"also":[131],"differences":[133,149],"PageRank":[135],"scores":[136],"community":[138],"structure":[139],"at":[140],"higher":[141],"orders":[142],"discuss":[144],"implications":[146],"future":[152],"study":[153],"comorbidity":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}