{"id":"https://openalex.org/W3014292668","doi":"https://doi.org/10.1093/pm/pnaa061","title":"Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning\u2013Based Text Generation","display_name":"Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning\u2013Based Text Generation","publication_year":2020,"publication_date":"2020-02-25","ids":{"openalex":"https://openalex.org/W3014292668","doi":"https://doi.org/10.1093/pm/pnaa061","mag":"3014292668","pmid":"https://pubmed.ncbi.nlm.nih.gov/32249306","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7685694"},"language":"en","primary_location":{"id":"doi:10.1093/pm/pnaa061","doi":"https://doi.org/10.1093/pm/pnaa061","is_oa":false,"landing_page_url":"https://doi.org/10.1093/pm/pnaa061","pdf_url":null,"source":{"id":"https://openalex.org/S191903559","display_name":"Pain Medicine","issn_l":"1526-2375","issn":["1526-2375","1526-4637"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pain Medicine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7685694","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084386025","display_name":"Patrick James Tighe","orcid":"https://orcid.org/0000-0002-1881-9941","observed_orcids":["https://orcid.org/0000-0002-1881-9941"]},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037","https://openalex.org/I33213144"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Patrick J Tighe","raw_affiliation_strings":["Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida","institution_ids":["https://openalex.org/I2800717037","https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074082485","display_name":"Bharadwaj Sannapaneni","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bharadwaj Sannapaneni","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida College of Engineering, Gainesville, Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida College of Engineering, Gainesville, Florida","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075489856","display_name":"Roger Benton Fillingim","orcid":"https://orcid.org/0000-0002-7699-8183","observed_orcids":["https://orcid.org/0000-0002-7699-8183"]},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037","https://openalex.org/I33213144"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger B Fillingim","raw_affiliation_strings":["Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pain Research & Intervention Center of Excellence, University of Florida, Gainesville, Florida","institution_ids":["https://openalex.org/I2800717037","https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047860631","display_name":"Charles Doyle","orcid":"https://orcid.org/0000-0001-8961-5543","observed_orcids":["https://orcid.org/0000-0001-8961-5543"]},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037","https://openalex.org/I33213144"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charlie Doyle","raw_affiliation_strings":["Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida","institution_ids":["https://openalex.org/I2800717037","https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101839383","display_name":"Michael L. Kent","orcid":"https://orcid.org/0000-0002-9051-2645","observed_orcids":["https://orcid.org/0000-0002-9051-2645"]},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I4210126298","display_name":"Duke Medical Center","ror":"https://ror.org/03njmea73","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210126298","https://openalex.org/I4210144876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Kent","raw_affiliation_strings":["Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina","institution_ids":["https://openalex.org/I170897317","https://openalex.org/I4210126298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019504069","display_name":"Benjamin Shickel","orcid":"https://orcid.org/0000-0002-5304-7027","observed_orcids":["https://orcid.org/0000-0002-5304-7027"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Shickel","raw_affiliation_strings":["Department of Computer and Information Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science and Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007040136","display_name":"Parisa Rashidi","orcid":"https://orcid.org/0000-0003-4530-2048","observed_orcids":["https://orcid.org/0000-0003-4530-2048"]},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parisa Rashidi","raw_affiliation_strings":["Department of Biomedical Engineering, University of Florida College of Engineering, Gainesville, Florida, USA","Department of Computer and Information Science and Engineering","Department of Electrical and Computer Engineering, University of Florida College of Engineering, Gainesville, Florida"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of Florida College of Engineering, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Computer and Information Science and Engineering","institution_ids":[]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida College of Engineering, Gainesville, Florida","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084386025"],"corresponding_institution_ids":["https://openalex.org/I2800717037","https://openalex.org/I33213144"],"apc_list":{"value":5036,"currency":"USD","value_usd":5036},"apc_paid":null,"fwci":4.9651,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95604158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":92,"max":97},"biblio":{"volume":"21","issue":"11","first_page":"3133","last_page":"3160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.46459999680519104,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.46459999680519104,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.2485000044107437,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.0737999975681305,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pain-research","display_name":"pain research","score":0.7689999938011169},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.7570000290870667},{"id":"https://openalex.org/keywords/pain-terminology","display_name":"pain terminology","score":0.4790000021457672},{"id":"https://openalex.org/keywords/pain-classification","display_name":"pain classification","score":0.4909999966621399},{"id":"https://openalex.org/keywords/pubmed-abstracts","display_name":"PubMed abstracts","score":0.6019999980926514},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2Vec","score":0.6430000066757202},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"latent Dirichlet allocation","score":0.8510000109672546},{"id":"https://openalex.org/keywords/abstract-generation","display_name":"abstract generation","score":0.5860000252723694},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.8980000019073486},{"id":"https://openalex.org/keywords/women-s-health","display_name":"women's health","score":0.824999988079071},{"id":"https://openalex.org/keywords/obstetrics","display_name":"obstetrics","score":0.6700000166893005},{"id":"https://openalex.org/keywords/research-trends","display_name":"research trends","score":0.652999997138977}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6703547835350037},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6176921129226685},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5772589445114136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5696548819541931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5562493801116943},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4929792881011963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46957939863204956},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4516925811767578},{"id":"https://openalex.org/C2991975920","wikidata":"https://www.wikidata.org/wiki/Q621261","display_name":"Pain medicine","level":3,"score":0.4353814721107483},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.4324294328689575},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.43217360973358154},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.42532527446746826},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4178643226623535},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3312314748764038},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.15665596723556519},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14275917410850525},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C2779526319","wikidata":"https://www.wikidata.org/wiki/Q615057","display_name":"Anesthesiology","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010146","descriptor_name":"Pain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011642","descriptor_name":"Publications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/pm/pnaa061","doi":"https://doi.org/10.1093/pm/pnaa061","is_oa":false,"landing_page_url":"https://doi.org/10.1093/pm/pnaa061","pdf_url":null,"source":{"id":"https://openalex.org/S191903559","display_name":"Pain Medicine","issn_l":"1526-2375","issn":["1526-2375","1526-4637"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Pain Medicine","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7685694","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7685694","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Pain Med","raw_type":"Text"},{"id":"pmid:32249306","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32249306","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,"listed_in":[],"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":"Pain medicine (Malden, Mass.)","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7685694","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7685694","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Pain Med","raw_type":"Text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G567659620","display_name":"Finding Good TEMporal PostOperative pain Signatures (TEMPOS)","funder_award_id":"R01GM114290","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G9000863523","display_name":"University of Florida Older Americans Independence Center (OAIC)","funder_award_id":"P30AG028740","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W632291594","https://openalex.org/W1967622766","https://openalex.org/W1984737884","https://openalex.org/W2008380096","https://openalex.org/W2056341285","https://openalex.org/W2062849694","https://openalex.org/W2072644219","https://openalex.org/W2077741015","https://openalex.org/W2087511931","https://openalex.org/W2101234009","https://openalex.org/W2114850508","https://openalex.org/W2132481658","https://openalex.org/W2137443266","https://openalex.org/W2142795553","https://openalex.org/W2146950091","https://openalex.org/W2147152072","https://openalex.org/W2162638563","https://openalex.org/W2169818249","https://openalex.org/W2296986887","https://openalex.org/W2513400162","https://openalex.org/W2604272474","https://openalex.org/W2612181292","https://openalex.org/W2613236558","https://openalex.org/W2771583344","https://openalex.org/W2808310641","https://openalex.org/W2887929321","https://openalex.org/W2898671507","https://openalex.org/W2952230511","https://openalex.org/W2980309919","https://openalex.org/W4248157219","https://openalex.org/W6607976765"],"related_works":["https://openalex.org/W6885187907","https://openalex.org/W2405725798","https://openalex.org/W4290623866","https://openalex.org/W3198419697","https://openalex.org/W4309246029","https://openalex.org/W2441733255","https://openalex.org/W2429055376","https://openalex.org/W7113576934","https://openalex.org/W2460245916","https://openalex.org/W7060772356"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Recent":[1],"efforts":[2],"to":[3,13,18,55,67,120,191,200,211,241,258,262],"update":[4],"the":[5,48,57,68,90,105,113,116,128,131,136,146,149,184,207,242],"definitions":[6,110],"and":[7,60,83,101,125,143,156,194,196,235,264],"taxonomic":[8],"structure":[9],"of":[10,22,41,53,108,173,188,230,244,254],"concepts":[11],"related":[12],"pain":[14,24,259,267],"have":[15],"revealed":[16],"opportunities":[17],"better":[19],"quantify":[20,56],"topics":[21,179],"existing":[23],"research":[25,64,268],"subject":[26,50],"areas.":[27],"METHODS:":[28],"Here,":[29],"we":[30],"apply":[31],"basic":[32],"natural":[33],"language":[34],"processing":[35],"(NLP)":[36],"analyses":[37],"on":[38,45,62],"a":[39],"corpus":[40],">200,000":[42],"abstracts":[43,226,256],"published":[44,255],"PubMed":[46],"under":[47],"medical":[49],"heading":[51],"(MeSH)":[52],"\"pain\"":[54,77,121],"topics,":[58],"content,":[59],"themes":[61],"pain-related":[63],"dating":[65],"back":[66],"1940s.":[69],"RESULTS:":[70],"The":[71],"most":[72,117,132,150],"common":[73],"stemmed":[74],"terms":[75,88,119,134,152],"included":[76,96,122,140,153],"(601,122":[78],"occurrences),":[79,82],"\"patient\"":[80],"(508,064":[81],"\"studi-\"":[84],"(208,839":[85],"occurrences).":[86],"Contrarily,":[87],"with":[89,227,232],"highest":[91],"term":[92,109,129,147],"frequency-inverse":[93],"document":[94],"frequency":[95],"\"tmd\"":[97],"(6.21),":[98],"\"qol\"":[99],"(6.01),":[100],"\"endometriosis\"":[102],"(5.94).":[103],"Using":[104],"vector-embedded":[106],"model":[107,221],"available":[111],"via":[112,160],"\"word2vec\"":[114],"technique,":[115],"similar":[118,133,151],"\"discomfort,\"":[123],"\"symptom,\"":[124],"\"pain-related.\"":[126],"For":[127],"\"acute,\"":[130],"in":[135,246],"word2vec":[137],"vector":[138],"space":[139],"\"nonspecific,\"":[141],"\"vaso-occlusive,\"":[142],"\"subacute\";":[144],"for":[145],"\"chronic,\"":[148],"\"persistent,\"":[154],"\"longstanding,\"":[155],"\"long-standing.\"":[157],"Topic":[158],"modeling":[159],"Latent":[161],"Dirichlet":[162],"analysis":[163,172],"identified":[164,177],"peak":[165],"coherence":[166],"(0.49)":[167],"at":[168,238],"40":[169],"topics.":[170],"Network":[171],"these":[174],"topic":[175],"models":[176,253],"three":[178],"that":[180],"were":[181,197],"outliers":[182],"from":[183,206],"core":[185],"cluster,":[186],"two":[187],"which":[189],"pertained":[190],"women's":[192],"health":[193],"obstetrics":[195],"closely":[198],"connected":[199],"one":[201],"another,":[202],"yet":[203],"considered":[204],"distant":[205],"third":[208],"outlier":[209],"pertaining":[210,257],"age.":[212],"A":[213],"deep":[214],"learning-based":[215],"gated":[216],"recurrent":[217],"units":[218],"abstract":[219],"generation":[220],"successfully":[222],"synthesized":[223],"several":[224],"unique":[225],"varying":[228],"levels":[229],"believability,":[231],"special":[233],"attention":[234],"some":[236],"confusion":[237],"lower":[239],"temperatures":[240],"roles":[243],"placebo":[245],"randomized":[247],"controlled":[248],"trials.":[249],"CONCLUSIONS:":[250],"Quantitative":[251],"NLP":[252],"may":[260],"point":[261],"trends":[263],"gaps":[265],"within":[266],"communities.":[269]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-04-10T00:00:00"}