{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T17:46:50Z","timestamp":1744825610338},"reference-count":30,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,1,24]],"date-time":"2023-01-24T00:00:00Z","timestamp":1674518400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.com.au","clinicalkey.es","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers in Biology and Medicine"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1016\/j.compbiomed.2023.106581","type":"journal-article","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T15:57:31Z","timestamp":1674489451000},"page":"106581","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["CARES: A Corpus for classification of Spanish Radiological reports"],"prefix":"10.1016","volume":"154","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-0302-912X","authenticated-orcid":false,"given":"Mariia","family":"Chizhikova","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0478-743X","authenticated-orcid":false,"given":"Pilar","family":"L\u00f3pez-\u00dabeda","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-9672-6740","authenticated-orcid":false,"given":"Jaime","family":"Collado-Monta\u00f1ez","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7200-5028","authenticated-orcid":false,"given":"Teodoro","family":"Mart\u00edn-Noguerol","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9298-1376","authenticated-orcid":false,"given":"Manuel C.","family":"D\u00edaz-Galiano","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9358-3396","authenticated-orcid":false,"given":"Antonio","family":"Luna","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7540-4059","authenticated-orcid":false,"given":"L. Alfonso","family":"Ure\u00f1a-L\u00f3pez","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-2874-0401","authenticated-orcid":false,"given":"M. Teresa","family":"Mart\u00edn-Valdivia","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compbiomed.2023.106581_b1","series-title":"Named entity recognition for electronic health records: a comparison of rule-based and machine learning approaches","author":"Gorinski","year":"2019"},{"key":"10.1016\/j.compbiomed.2023.106581_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2020.104066","article-title":"COVID-19 detection in radiological text reports integrating entity recognition","volume":"127","author":"L\u00f3pez-\u00dabeda","year":"2020","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.compbiomed.2023.106581_b3","series-title":"A systematic literature review of automated ICD coding and classification systems using discharge summaries","author":"Kaur","year":"2021"},{"key":"10.1016\/j.compbiomed.2023.106581_b4","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2021.103712","article-title":"Automated classification of cancer morphology from Italian pathology reports using Natural Language Processing techniques: A rule-based approach","volume":"116","author":"Hammami","year":"2021","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.compbiomed.2023.106581_b5","first-page":"112","article-title":"Automatic extraction of ICD-O-3 primary sites from cancer pathology reports","volume":"2013","author":"Kavuluru","year":"2013","journal-title":"AMIA Summits on Transl. Sci. Proc."},{"issue":"1","key":"10.1016\/j.compbiomed.2023.106581_b6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12911-016-0269-4","article-title":"A hierarchical method to automatically encode Chinese diagnoses through semantic similarity estimation","volume":"16","author":"Ning","year":"2016","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"10.1016\/j.compbiomed.2023.106581_b7","series-title":"Hierarchical deep learning classification of unstructured pathology reports to automate ICD-O morphology grading","author":"Saib","year":"2020"},{"key":"10.1016\/j.compbiomed.2023.106581_b8","series-title":"Clinical natural language processing: Auto-assigning ICD-9 codes","author":"Coffman","year":"2007"},{"key":"10.1016\/j.compbiomed.2023.106581_b9","unstructured":"P. L\u00f3pez-\u00dabeda, M.C. D\u00edaz-Galiano, M.T. Mart\u00edn-Valdivia, L.A.U. L\u00f3pez, Machine Learning to Detect ICD10 Codes in Causes of Death, in: CLEF (Working Notes), 2018."},{"key":"10.1016\/j.compbiomed.2023.106581_b10","doi-asserted-by":"crossref","unstructured":"P. Zweigenbaum, T. Lavergne, Hybrid methods for ICD-10 coding of death certificates, in: Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016, pp. 96\u2013105.","DOI":"10.18653\/v1\/W16-6113"},{"key":"10.1016\/j.compbiomed.2023.106581_b11","series-title":"AMIA Annual Symposium Proceedings","first-page":"279","article-title":"Three approaches to automatic assignment of ICD-9-CM codes to radiology reports","volume":"Vol. 2007","author":"Goldstein","year":"2007"},{"issue":"8","key":"10.1016\/j.compbiomed.2023.106581_b12","doi-asserted-by":"crossref","DOI":"10.2196\/23230","article-title":"Automatic ICD-10 coding and training system: deep neural network based on supervised learning","volume":"9","author":"Chen","year":"2021","journal-title":"JMIR Med. Inform."},{"key":"10.1016\/j.compbiomed.2023.106581_b13","series-title":"CEUR Workshop Proceedings","first-page":"28","article-title":"Clinical information extraction at the CLEF eHealth evaluation lab 2016","volume":"Vol. 1609","author":"N\u00e9v\u00e9ol","year":"2016"},{"key":"10.1016\/j.compbiomed.2023.106581_b14","unstructured":"A. N\u00e9v\u00e9ol, A. Robert, R. Anderson, K.B. Cohen, C. Grouin, T. Lavergne, G. Rey, C. Rondet, P. Zweigenbaum, CLEF eHealth 2017 Multilingual Information Extraction task Overview: ICD10 Coding of Death Certificates in English and French, in: CLEF (Working Notes), 2017, pp. 1\u201317."},{"key":"10.1016\/j.compbiomed.2023.106581_b15","unstructured":"A. N\u00e9v\u00e9ol, A. Robert, F. Grippo, C. Morgand, C. Orsi, L. Pelikan, L. Ramadier, G. Rey, P. Zweigenbaum, CLEF eHealth 2018 Multilingual Information Extraction Task Overview: ICD10 Coding of Death Certificates in French, Hungarian and Italian, in: CLEF (Working Notes), 2018, pp. 1\u201318."},{"key":"10.1016\/j.compbiomed.2023.106581_b16","unstructured":"A. Miranda-Escalada, A. Gonzalez-Agirre, J. Armengol-Estap\u00e9, M. Krallinger, Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020, in: CLEF (Working Notes), 2020."},{"key":"10.1016\/j.compbiomed.2023.106581_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.cmpb.2019.105264","article-title":"Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity","volume":"188","author":"Blanco","year":"2020","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.compbiomed.2023.106581_b18","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2021.102177","article-title":"A keyphrase-based approach for interpretable ICD-10 code classification of spanish medical reports","volume":"121","author":"Duque","year":"2021","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.compbiomed.2023.106581_b19","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmedinf.2021.104615","article-title":"Explainable ICD multi-label classification of EHRs in spanish with convolutional attention","volume":"157","author":"Trigueros","year":"2022","journal-title":"Int. J. Med. Inform."},{"key":"10.1016\/j.compbiomed.2023.106581_b20","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.jbi.2018.02.011","article-title":"Deep neural models for ICD-10 coding of death certificates and autopsy reports in free-text","volume":"80","author":"Duarte","year":"2018","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.compbiomed.2023.106581_b21","series-title":"National Clinical Coding Standards ICD-10","author":"Digital","year":"2021"},{"key":"10.1016\/j.compbiomed.2023.106581_b22","series-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","first-page":"145","article-title":"On the stratification of multi-label data","author":"Sechidis","year":"2011"},{"key":"10.1016\/j.compbiomed.2023.106581_b23","series-title":"BERT: pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018"},{"key":"10.1016\/j.compbiomed.2023.106581_b24","article-title":"BioBERT: a pre-trained biomedical language representation model for biomedical text mining","author":"Lee","year":"2019","journal-title":"Bioinformatics"},{"key":"10.1016\/j.compbiomed.2023.106581_b25","unstructured":"J. Ca\u00f1ete, G. Chaperon, R. Fuentes, J.-H. Ho, H. Kang, J. P\u00e9rez, Spanish Pre-Trained BERT Model and Evaluation Data, in: PML4DC at ICLR 2020, 2020."},{"key":"10.1016\/j.compbiomed.2023.106581_b26","series-title":"Compilation of Large Spanish Unannotated Corpora","author":"Ca\u00f1ete","year":"2019"},{"key":"10.1016\/j.compbiomed.2023.106581_b27","article-title":"Maria: Spanish language models","volume":"68","author":"Guti\u00e9rrez\u00a0Fandi\u00f1o","year":"2022","journal-title":"Procesamiento Lenguaje Nat."},{"key":"10.1016\/j.compbiomed.2023.106581_b28","series-title":"Biomedical and clinical language models for spanish: on the benefits of domain-specific pretraining in a mid-resource scenario","author":"Carrino","year":"2021"},{"key":"10.1016\/j.compbiomed.2023.106581_b29","series-title":"HuggingFace\u2019s transformers: state-of-the-art natural language processing","author":"Wolf","year":"2019"},{"key":"10.1016\/j.compbiomed.2023.106581_b30","doi-asserted-by":"crossref","unstructured":"T. Akiba, S. Sano, T. Yanase, T. Ohta, M. Koyama, Optuna: A Next-generation Hyperparameter Optimization Framework, in: Proceedings of the 25rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019.","DOI":"10.1145\/3292500.3330701"}],"container-title":["Computers in Biology and Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S001048252300046X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S001048252300046X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,2,26]],"date-time":"2023-02-26T20:18:44Z","timestamp":1677442724000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S001048252300046X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":30,"alternative-id":["S001048252300046X"],"URL":"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.106581","relation":{},"ISSN":["0010-4825"],"issn-type":[{"value":"0010-4825","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CARES: A Corpus for classification of Spanish Radiological reports","name":"articletitle","label":"Article Title"},{"value":"Computers in Biology and Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compbiomed.2023.106581","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"106581"}}