{"id":"https://openalex.org/W3007660061","doi":"https://doi.org/10.1109/bigdata47090.2019.9006414","title":"Automatic Generation of Electronic Medical Record Based on GPT2 Model","display_name":"Automatic Generation of Electronic Medical Record Based on GPT2 Model","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007660061","doi":"https://doi.org/10.1109/bigdata47090.2019.9006414","mag":"3007660061"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10159896/1/AutomaticGenerationofElectronicMedicalRecordBasedonGPT2Model.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062754083","display_name":"Junkun Peng","orcid":"https://orcid.org/0000-0001-9304-5379"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junkun Peng","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012478360","display_name":"Pin Ni","orcid":"https://orcid.org/0000-0003-4516-1249"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Ni","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103187377","display_name":"Jiayi Zhu","orcid":"https://orcid.org/0000-0003-1564-8267"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Zhu","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101071685","display_name":"Zhenjin Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjin Dai","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779262","display_name":"Yuming Li","orcid":"https://orcid.org/0000-0003-2219-9033"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Li","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021304275","display_name":"Gangmin Li","orcid":"https://orcid.org/0000-0003-4006-7472"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangmin Li","raw_affiliation_strings":["Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China"],"affiliations":[{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi\u2019an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Research Lab for Knowledge and Wisdom, Xi'an Jiaotong-Liverpool University, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010510744","display_name":"Xuming Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210124971","display_name":"Second Affiliated Hospital of Soochow University","ror":"https://ror.org/02xjrkt08","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuming Bai","raw_affiliation_strings":["Department of Interventional Radiology, Second Affiliated Hospital of Soochow University, China"],"affiliations":[{"raw_affiliation_string":"Department of Interventional Radiology, Second Affiliated Hospital of Soochow University, China","institution_ids":["https://openalex.org/I3923682","https://openalex.org/I4210124971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5062754083"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":0.2886,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69001272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6180","last_page":"6182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.8845000267028809,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.8845000267028809,"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/T11719","display_name":"Data Quality and Management","score":0.8711000084877014,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8589000105857849,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6101504564285278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.348907470703125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101504564285278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.348907470703125}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10159896","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10159896/","pdf_url":"https://discovery.ucl.ac.uk/10159896/1/AutomaticGenerationofElectronicMedicalRecordBasedonGPT2Model.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Baru, Chaitanya and Huan, Jun and Khan, Latifur and Hu, Xiaohua and Ak, Ronay and Tian, Yuanyuan and Barga, Roger and Zaniolo, Carlo and Lee, Kisung and Ye, Yanfang Fanny, (eds.) 2019 IEEE International Conference on Big Data (Big Data).  (pp. pp. 6180-6182).  IEEE: Los Angeles, CA, USA. (2019)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10159896","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10159896/","pdf_url":"https://discovery.ucl.ac.uk/10159896/1/AutomaticGenerationofElectronicMedicalRecordBasedonGPT2Model.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In: Baru, Chaitanya and Huan, Jun and Khan, Latifur and Hu, Xiaohua and Ak, Ronay and Tian, Yuanyuan and Barga, Roger and Zaniolo, Carlo and Lee, Kisung and Ye, Yanfang Fanny, (eds.) 2019 IEEE International Conference on Big Data (Big Data).  (pp. pp. 6180-6182).  IEEE: Los Angeles, CA, USA. (2019)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324032","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05"},{"id":"https://openalex.org/F4320335575","display_name":"Key Programme","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007660061.pdf","grobid_xml":"https://content.openalex.org/works/W3007660061.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W1519855838","https://openalex.org/W2032282864","https://openalex.org/W2896457183","https://openalex.org/W2963341956","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Writing":[0],"Electronic":[1],"Medical":[2],"Records":[3],"(EMR)":[4],"as":[5],"one":[6],"of":[7,11,16,39],"daily":[8],"major":[9],"tasks":[10],"doctors,":[12],"consumes":[13],"a":[14,88],"lot":[15],"time":[17],"and":[18,86,90],"effort":[19],"from":[20],"doctors.":[21],"This":[22],"paper":[23],"reports":[24],"our":[25],"efforts":[26],"to":[27,73,79],"generate":[28],"electronic":[29,55,66],"medical":[30,56,67,76],"records":[31],"using":[32],"the":[33,37,44,52,64,74,81,84],"language":[34],"model.":[35],"Through":[36],"training":[38],"massive":[40],"real-world":[41],"EMR":[42],"data,":[43],"CMedGPT2":[45],"model":[46],"provided":[47],"by":[48],"us":[49],"can":[50,70],"achieve":[51],"ideal":[53],"Chinese":[54],"record":[57,68,77],"generation.":[58],"The":[59],"experimental":[60],"results":[61],"prove":[62],"that":[63],"generated":[65],"text":[69],"be":[71],"applied":[72],"auxiliary":[75],"work":[78],"reduce":[80],"burden":[82],"on":[83],"compose":[85],"provide":[87],"fast":[89],"accurate":[91],"reference":[92],"for":[93],"composing":[94],"work.":[95]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}