{"id":"https://openalex.org/W2772403409","doi":"https://doi.org/10.1109/bibm.2017.8217859","title":"Feature extraction from medical record text for TCM Zheng classification of psoriasis","display_name":"Feature extraction from medical record text for TCM Zheng classification of psoriasis","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2772403409","doi":"https://doi.org/10.1109/bibm.2017.8217859","mag":"2772403409"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2017.8217859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5101921606","display_name":"Zehui He","orcid":"https://orcid.org/0000-0002-2253-9782"},"institutions":[{"id":"https://openalex.org/I4210105984","display_name":"Guangdong Provincial Hospital of Traditional Chinese Medicine","ror":"https://ror.org/01gb3y148","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehui He","raw_affiliation_strings":["Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China","institution_ids":["https://openalex.org/I4210105984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088263100","display_name":"Heng Weng","orcid":"https://orcid.org/0000-0002-5203-8663"},"institutions":[{"id":"https://openalex.org/I4210105984","display_name":"Guangdong Provincial Hospital of Traditional Chinese Medicine","ror":"https://ror.org/01gb3y148","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Weng","raw_affiliation_strings":["Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China","institution_ids":["https://openalex.org/I4210105984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082690569","display_name":"Aihua Ou","orcid":"https://orcid.org/0000-0001-6123-7931"},"institutions":[{"id":"https://openalex.org/I4210105984","display_name":"Guangdong Provincial Hospital of Traditional Chinese Medicine","ror":"https://ror.org/01gb3y148","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aihua Ou","raw_affiliation_strings":["Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China","institution_ids":["https://openalex.org/I4210105984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011162253","display_name":"Shixing Yan","orcid":"https://orcid.org/0000-0002-3399-1942"},"institutions":[{"id":"https://openalex.org/I4210141683","display_name":"China Academy of Chinese Medical Sciences","ror":"https://ror.org/042pgcv68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shixing Yan","raw_affiliation_strings":["Data Center of TCM, China Academy of Chinese Medical Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Center of TCM, China Academy of Chinese Medical Science, Beijing, China","institution_ids":["https://openalex.org/I4210141683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053502733","display_name":"Chuanjian Lu","orcid":"https://orcid.org/0000-0001-6531-0702"},"institutions":[{"id":"https://openalex.org/I4210105984","display_name":"Guangdong Provincial Hospital of Traditional Chinese Medicine","ror":"https://ror.org/01gb3y148","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210105984"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanjian Lu","raw_affiliation_strings":["Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China","institution_ids":["https://openalex.org/I4210105984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089711319","display_name":"Guozheng Li","orcid":"https://orcid.org/0000-0001-5568-0347"},"institutions":[{"id":"https://openalex.org/I4210141683","display_name":"China Academy of Chinese Medical Sciences","ror":"https://ror.org/042pgcv68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo-Zheng Li","raw_affiliation_strings":["Data Center of TCM, China Academy of Chinese Medical Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Center of TCM, China Academy of Chinese Medical Science, Beijing, China","institution_ids":["https://openalex.org/I4210141683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3793,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7126766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1354","last_page":"1356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588633060455322},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5859514474868774},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5663349628448486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5551924109458923},{"id":"https://openalex.org/keywords/psoriasis","display_name":"Psoriasis","score":0.5204517841339111},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.5080821514129639},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49318236112594604},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4854870140552521},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4128803610801697},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4018579125404358},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34712183475494385},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3027811050415039},{"id":"https://openalex.org/keywords/dermatology","display_name":"Dermatology","score":0.14073064923286438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588633060455322},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5859514474868774},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5663349628448486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5551924109458923},{"id":"https://openalex.org/C2780564577","wikidata":"https://www.wikidata.org/wiki/Q179945","display_name":"Psoriasis","level":2,"score":0.5204517841339111},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.5080821514129639},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49318236112594604},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4854870140552521},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4128803610801697},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4018579125404358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34712183475494385},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3027811050415039},{"id":"https://openalex.org/C16005928","wikidata":"https://www.wikidata.org/wiki/Q171171","display_name":"Dermatology","level":1,"score":0.14073064923286438},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2017.8217859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2017.8217859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2028070629","https://openalex.org/W2069340802","https://openalex.org/W2122111042","https://openalex.org/W2136375912","https://openalex.org/W2153635508","https://openalex.org/W6636510571"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4390881630","https://openalex.org/W2770162183","https://openalex.org/W3110772647","https://openalex.org/W2947721150","https://openalex.org/W4210767205","https://openalex.org/W2894231409","https://openalex.org/W3127365535"],"abstract_inverted_index":{"Psoriasis":[0],"is":[1,21,26,33,50,124,197],"a":[2,39,105],"chronic":[3],"inflammatory":[4],"skin":[5],"disease":[6],"that":[7,84,167,190,223,229],"have":[8],"bad":[9],"effects":[10],"on":[11,48,52,173,240],"the":[12,17,86,184,204,230,241],"quality":[13],"of":[14,16,61,66,122,179,206,232,243],"life":[15],"patients.":[18],"As":[19,70],"psoriasis":[20,157],"intractable":[22],"and":[23,92,176,195,210],"its":[24,112],"cause":[25],"difficult":[27],"to":[28,37,145],"discover,":[29],"Traditional":[30],"Chinese":[31,45],"Medicine":[32],"proved":[34],"in":[35,73,94,99,104,133,152,199,234],"China":[36],"be":[38,68,130],"more":[40],"effective":[41,64],"medical":[42,88,161,180,235],"way.":[43],"In":[44,137],"Medicine,":[46],"decision":[47],"prescription":[49],"based":[51],"ZHENG":[53,74,135,158,174,200],"rather":[54],"than":[55,222],"disease.":[56],"Only":[57],"after":[58],"successful":[59],"differentiation":[60],"ZHENG,":[62],"can":[63],"treatment":[65],"TCM":[67],"possible.":[69],"many":[71],"papers":[72,101],"classification":[75,159,175,242],"modelling":[76],"were":[77,90,143],"reviewed,":[78],"one":[79],"common":[80],"characteristic":[81],"was":[82,109],"found":[83],"although":[85],"original":[87,113,127],"records":[89],"written":[91],"stored":[93],"text":[95,114,128],"format,":[96],"most":[97],"experiments":[98],"these":[100],"use":[102],"data":[103],"structured":[106],"format":[107],"which":[108,226],"extracted":[110,125],"from":[111,126,160,218,224],"format.":[115],"Therefore,":[116],"whether":[117],"or":[118],"not":[119,193],"full":[120],"usage":[121],"information":[123,155,189],"should":[129],"considered":[131],"seriously":[132],"building":[134],"classification.":[136],"this":[138],"paper,":[139],"machine":[140],"learning":[141],"methods":[142],"used":[144],"evaluate":[146],"four":[147],"feature":[148,168],"extraction":[149,169],"methods'":[150],"capability":[151],"extracting":[153],"useful":[154],"for":[156],"texts.":[162],"The":[163],"experiment":[164],"result":[165],"revealed":[166],"has":[170,237],"great":[171],"influence":[172],"doctors'":[177],"segmentation":[178],"case":[181],"text,":[182],"as":[183,203],"punctuations":[185],"indicate,":[186],"contains":[187],"some":[188],"dictionary":[191],"does":[192],"contain":[194],"but":[196],"essential":[198],"identification,":[201],"such":[202],"group":[205],"symptoms,":[207],"degree":[208],"words":[209,233],"so":[211],"on.":[212],"What's":[213],"more,":[214],"models":[215],"with":[216],"features":[217],"bow":[219],"perform":[220],"better":[221],"word2vec,":[225],"may":[227],"illustrate":[228],"sequence":[231],"texts":[236],"little":[238],"impact":[239],"ZHENG.":[244]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
