{"id":"https://openalex.org/W3045522229","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148436","title":"Joint Extraction of Symptoms and Details in Chinese Medical Records Using the Overlapping Mechanism","display_name":"Joint Extraction of Symptoms and Details in Chinese Medical Records Using the Overlapping Mechanism","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045522229","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148436","mag":"3045522229"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5026734277","display_name":"Qian Hu","orcid":"https://orcid.org/0000-0002-8675-9637"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Qian Hu","raw_affiliation_strings":["AI Doctor Smart Healthcare Technology Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Doctor Smart Healthcare Technology Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065359626","display_name":"Wan Dong","orcid":"https://orcid.org/0000-0001-9901-1428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan Dong","raw_affiliation_strings":["AI Doctor Smart Healthcare Technology Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Doctor Smart Healthcare Technology Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432399","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0002-5113-2658"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["National Lab. of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Lab. of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740128","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-3288-2111"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["AI Doctor Smart Healthcare Technology Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Doctor Smart Healthcare Technology Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062860227","display_name":"Yanan Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanan Shen","raw_affiliation_strings":["AI Doctor Smart Healthcare Technology Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Doctor Smart Healthcare Technology Ltd, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066629372","display_name":"Zhichao Wu","orcid":"https://orcid.org/0000-0002-8623-6684"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhichao Wu","raw_affiliation_strings":["AI Doctor Smart Healthcare Technology Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Doctor Smart Healthcare Technology Ltd, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5026734277"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0825152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2057","last_page":"2062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9965000152587891,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7777438163757324},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6000027656555176},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5954551100730896},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.5852231383323669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5802895426750183},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5397335886955261},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5382909774780273},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5272378325462341},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.4972420036792755},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4770071804523468},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47376635670661926},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4730348289012909},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4711134731769562},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4576221704483032},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4488421678543091},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44168969988822937},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.42341217398643494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4053255319595337},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4038226008415222},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17095288634300232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7777438163757324},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6000027656555176},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5954551100730896},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.5852231383323669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5802895426750183},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5397335886955261},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5382909774780273},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5272378325462341},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.4972420036792755},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4770071804523468},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47376635670661926},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4730348289012909},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4711134731769562},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4576221704483032},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4488421678543091},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44168969988822937},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.42341217398643494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4053255319595337},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4038226008415222},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17095288634300232},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W2053238041","https://openalex.org/W2147880316","https://openalex.org/W2293023260","https://openalex.org/W2296283641","https://openalex.org/W2357310170","https://openalex.org/W2560939934","https://openalex.org/W2587809655","https://openalex.org/W2739117643","https://openalex.org/W2808142148","https://openalex.org/W2963014179","https://openalex.org/W6696884364"],"related_works":["https://openalex.org/W4377865234","https://openalex.org/W2334378031","https://openalex.org/W2916255597","https://openalex.org/W2999302224","https://openalex.org/W3091569222","https://openalex.org/W4241018868","https://openalex.org/W1495833002","https://openalex.org/W3185823435","https://openalex.org/W2075635421","https://openalex.org/W2964631078"],"abstract_inverted_index":{"The":[0,107],"description":[1],"of":[2,58,87,100],"the":[3,9,28,52,63,84,91,120,129],"patient's":[4],"symptoms":[5,39,59],"and":[6,24,40,55,60,79,98,102],"details":[7,61],"in":[8,27,62,83,104,116],"Chinese":[10],"electronic":[11],"medical":[12,64,80,123],"record":[13,124],"is":[14,34],"an":[15,44],"important":[16],"basis":[17],"for":[18],"assisting":[19],"clinicians":[20],"to":[21,37,50,89],"make":[22],"diagnosis":[23],"treatment":[25],"decisions":[26],"clinical":[29],"decision":[30],"system.":[31],"Therefore,":[32],"it":[33],"greatly":[35],"significant":[36],"extract":[38],"details.":[41],"We":[42],"propose":[43],"end-to-end":[45],"overlapping":[46,67],"joint":[47],"extraction":[48,57,94],"method":[49,71,113],"complete":[51],"entity":[53,96,99],"identification":[54,97],"relationship":[56,93],"record.":[65],"By":[66],"annotation":[68],"mechanism,":[69],"this":[70],"uses":[72],"word":[73,76],"vector":[74],"features,":[75],"segmentation":[77],"features":[78,82],"dictionary":[81],"embedding":[85],"layer":[86],"BiLSTM-CRF":[88],"implement":[90],"overlapped":[92],"between":[95],"symptom":[101],"detail":[103],"one":[105],"step.":[106],"experimental":[108],"results":[109],"show":[110],"that":[111],"our":[112],"achieves":[114],"80%":[115],"F1":[117],"score":[118],"on":[119],"real":[121],"outpatient":[122],"test":[125],"set,":[126],"which":[127],"outperforms":[128],"existed":[130],"state-of-the-art":[131],"methods.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}