Andrés J Muñoz Martín, Ramón Lecumberri, Juan Carlos Souto, Berta Obispo, Antonio Sanchez, Jorge Aparicio, Cristina Aguayo, David Gutierrez, Andrés García Palomo, Diego Benavent, Miren Taberna, María Carmen Viñuela-Benéitez, Daniel Arumi, Miguel Ángel Hernández-Presa
{"title":"更正:利用机器学习和自然语言处理技术建立癌症相关静脉血栓栓塞抗凝患者大出血预测模型。","authors":"Andrés J Muñoz Martín, Ramón Lecumberri, Juan Carlos Souto, Berta Obispo, Antonio Sanchez, Jorge Aparicio, Cristina Aguayo, David Gutierrez, Andrés García Palomo, Diego Benavent, Miren Taberna, María Carmen Viñuela-Benéitez, Daniel Arumi, Miguel Ángel Hernández-Presa","doi":"10.1007/s12094-024-03780-2","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":" ","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Correction: Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing.\",\"authors\":\"Andrés J Muñoz Martín, Ramón Lecumberri, Juan Carlos Souto, Berta Obispo, Antonio Sanchez, Jorge Aparicio, Cristina Aguayo, David Gutierrez, Andrés García Palomo, Diego Benavent, Miren Taberna, María Carmen Viñuela-Benéitez, Daniel Arumi, Miguel Ángel Hernández-Presa\",\"doi\":\"10.1007/s12094-024-03780-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":50685,\"journal\":{\"name\":\"Clinical & Translational Oncology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical & Translational Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12094-024-03780-2\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical & Translational Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12094-024-03780-2","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Correction: Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing.
期刊介绍:
Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.