{"id":"https://openalex.org/W4385852262","doi":"https://doi.org/10.1093/jamia/ocad160","title":"The added value of text from Dutch general practitioner notes in predictive modeling","display_name":"The added value of text from Dutch general practitioner notes in predictive modeling","publication_year":2023,"publication_date":"2023-08-16","ids":{"openalex":"https://openalex.org/W4385852262","doi":"https://doi.org/10.1093/jamia/ocad160","pmid":"https://pubmed.ncbi.nlm.nih.gov/37587084"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocad160","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocad160","pdf_url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocad160/51119440/ocad160.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocad160/51119440/ocad160.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080094290","display_name":"Tom M Seinen","orcid":"https://orcid.org/0000-0001-5369-8260"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tom M Seinen","raw_affiliation_strings":["Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5369-8260","affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005077862","display_name":"Jan A. Kors","orcid":"https://orcid.org/0000-0002-4929-026X"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jan A Kors","raw_affiliation_strings":["Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053857782","display_name":"Erik M. van Mulligen","orcid":"https://orcid.org/0000-0003-1377-9386"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Erik M van Mulligen","raw_affiliation_strings":["Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080366536","display_name":"Egill A. Fri\u00f0geirsson","orcid":"https://orcid.org/0000-0001-9085-9369"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Egill Fridgeirsson","raw_affiliation_strings":["Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048645102","display_name":"Peter R. Rijnbeek","orcid":"https://orcid.org/0000-0003-0621-1979"},"institutions":[{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2801952686"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter R Rijnbeek","raw_affiliation_strings":["Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Medical Informatics, Erasmus University Medical Center , Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I2801952686"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080094290"],"corresponding_institution_ids":["https://openalex.org/I2801952686"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":{"value":3967,"currency":"USD","value_usd":3967},"fwci":1.7873,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87958085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"30","issue":"12","first_page":"1973","last_page":"1984"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7526000142097473,"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":0.7526000142097473,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.12200000137090683,"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":0.01679999940097332,"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/unstructured-data","display_name":"Unstructured data","score":0.7542449235916138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.704825222492218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5414516925811768},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5396753549575806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5200576186180115},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5155458450317383},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46333515644073486},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44876620173454285},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.41333746910095215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37997540831565857},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.21623307466506958}],"concepts":[{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.7542449235916138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.704825222492218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5414516925811768},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5396753549575806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5200576186180115},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5155458450317383},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46333515644073486},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44876620173454285},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.41333746910095215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37997540831565857},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.21623307466506958},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D006801","descriptor_name":"Humans","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007802","descriptor_name":"Language","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":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","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":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058005","descriptor_name":"General Practitioners","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058005","descriptor_name":"General Practitioners","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058005","descriptor_name":"General Practitioners","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058005","descriptor_name":"General Practitioners","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1093/jamia/ocad160","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocad160","pdf_url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocad160/51119440/ocad160.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:37587084","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37587084","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,"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":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10654855","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10654855","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10654855/pdf/ocad160.pdf","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"},{"id":"pmh:oai:pure.eur.nl:openaire_cris_publications/21698933-1d5c-407e-87ad-0ae14be4b8ff","is_oa":true,"landing_page_url":"https://pure.eur.nl/en/publications/21698933-1d5c-407e-87ad-0ae14be4b8ff","pdf_url":"https://pure.eur.nl/ws/files/100363044/The_added_value_of_text_from_Dutch_general_practitioner_notes_in_predictive_modeling.pdf","source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Seinen, TM, Kors, JA, van Mulligen, EM, Fridgeirsson, E & Rijnbeek, PR 2023, 'The added value of text from Dutch general practitioner notes in predictive modeling', Journal of the American Medical Informatics Association, vol. 30, no. 12, pp. 1973-1984. https://doi.org/10.1093/jamia/ocad160","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1093/jamia/ocad160","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocad160","pdf_url":"https://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocad160/51119440/ocad160.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G2340101600","display_name":null,"funder_award_id":"806968","funder_id":"https://openalex.org/F4320326631","funder_display_name":"Innovative Medicines Initiative"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8692998141","display_name":null,"funder_award_id":"806968","funder_id":"https://openalex.org/F4320314178","funder_display_name":"European Federation of Pharmaceutical Industries and Associations"},{"id":"https://openalex.org/G8720798102","display_name":"European Health Data and Evidence Network","funder_award_id":"806968","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320314178","display_name":"European Federation of Pharmaceutical Industries and Associations","ror":"https://ror.org/00g1x4v36"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320326631","display_name":"Innovative Medicines Initiative","ror":"https://ror.org/019af4n30"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385852262.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W34678172","https://openalex.org/W1980283223","https://openalex.org/W2016266742","https://openalex.org/W2042386526","https://openalex.org/W2093157872","https://openalex.org/W2183862653","https://openalex.org/W2283041611","https://openalex.org/W2395172628","https://openalex.org/W2396881363","https://openalex.org/W2404092413","https://openalex.org/W2735580341","https://openalex.org/W2799695199","https://openalex.org/W2802271297","https://openalex.org/W2805211535","https://openalex.org/W2808358301","https://openalex.org/W2913997948","https://openalex.org/W2924728134","https://openalex.org/W2955699460","https://openalex.org/W2959341277","https://openalex.org/W2962862931","https://openalex.org/W3008638855","https://openalex.org/W3046238651","https://openalex.org/W3046382668","https://openalex.org/W3081317618","https://openalex.org/W3109609494","https://openalex.org/W3118385223","https://openalex.org/W3137431013","https://openalex.org/W3153990350","https://openalex.org/W3155739706","https://openalex.org/W3169284847","https://openalex.org/W4205328764","https://openalex.org/W4210338583","https://openalex.org/W4220985106","https://openalex.org/W4221090859","https://openalex.org/W4225426732","https://openalex.org/W4225493996","https://openalex.org/W4226397557","https://openalex.org/W4315436249","https://openalex.org/W4360613735","https://openalex.org/W4362521896","https://openalex.org/W4382202988","https://openalex.org/W6737947904","https://openalex.org/W6838453654","https://openalex.org/W7030197835"],"related_works":["https://openalex.org/W4225493996","https://openalex.org/W2560797684","https://openalex.org/W2936585522","https://openalex.org/W3210470316","https://openalex.org/W3121644115","https://openalex.org/W4205515834","https://openalex.org/W40729839","https://openalex.org/W2602957669","https://openalex.org/W2182960779","https://openalex.org/W4318053943"],"abstract_inverted_index":{"OBJECTIVE:":[0],"This":[1],"work":[2],"aims":[3],"to":[4,97,248],"explore":[5],"the":[6,18,81,112,134,146,164,175,181,195,210,226,236,246],"value":[7,228],"of":[8,20,114,148,183,197,213,229],"Dutch":[9],"unstructured":[10,149,215,230],"data,":[11,16],"in":[12,24,103,108,154,189,217,221],"combination":[13,113],"with":[14],"structured":[15,100,115,122,170],"for":[17,39,158],"development":[19],"prognostic":[21],"prediction":[22,37,43,51,86,105,139,156,161,200,219,238],"models":[23,38,66,88,98,120,157,201,220],"a":[25,222],"general":[26],"practitioner":[27],"(GP)":[28],"setting.":[29,224],"MATERIALS":[30],"AND":[31],"METHODS:":[32],"We":[33,61],"trained":[34,62],"and":[35,53,63,68,85,116,138,171,194],"validated":[36,64],"4":[40],"common":[41,50],"clinical":[42,160,184,218],"problems":[44],"using":[45,90,99,121],"various":[46,203],"sparse":[47],"text":[48,83,91,117,124,136,172],"representations,":[49],"algorithms,":[52,87],"observational":[54],"GP":[55,223],"electronic":[56],"health":[57],"record":[58],"(EHR)":[59],"data.":[60],"84":[65],"internally":[67],"externally":[69],"on":[70,235],"data":[71,92,101,118,125,150,173,216,231],"from":[72],"different":[73,82,135],"EHR":[74,204],"systems.":[75,205],"RESULTS:":[76],"On":[77],"average,":[78],"over":[79],"all":[80],"representations":[84,137],"only":[89],"performed":[93],"better":[94],"or":[95,123],"similar":[96],"alone":[102,151],"2":[104,110],"tasks.":[106],"Additionally,":[107,178],"these":[109],"tasks,":[111],"outperformed":[119],"alone.":[126],"No":[127],"large":[128],"performance":[129,165],"differences":[130],"were":[131],"found":[132],"between":[133],"algorithms.":[140],"DISCUSSION:":[141],"Our":[142,207],"findings":[143,241],"indicate":[144],"that":[145,243],"use":[147],"can":[152],"result":[153],"well-performing":[155],"some":[159],"problems.":[162],"Furthermore,":[163],"improvement":[166],"achieved":[167],"by":[168],"combining":[169],"highlights":[174,209],"added":[176,227],"value.":[177],"we":[179],"demonstrate":[180],"significance":[182],"natural":[185],"language":[186],"processing":[187],"research":[188],"languages":[190],"other":[191],"than":[192],"English":[193],"possibility":[196],"validating":[198],"text-based":[199],"across":[202],"CONCLUSION:":[206],"study":[208],"potential":[211,247],"benefits":[212],"incorporating":[214],"Although":[225],"may":[232],"vary":[233],"depending":[234],"specific":[237],"task,":[239],"our":[240],"suggest":[242],"it":[244],"has":[245],"enhance":[249],"patient":[250],"care.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}
