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Profiling Lung Cancer Patients Using Electronic Health Records., , , , , , , , , and 3 other author(s). J. Medical Syst., 42 (7): 126:1-126:10 (2018)Recognition of Time Expressions in Spanish Electronic Health Records., , , , , , , , and . CBMS, page 69-74. IEEE, (2019)Transformers for extracting breast cancer information from Spanish clinical narratives., , , , , , and . Artif. Intell. Medicine, (September 2023)Subgroup Discovery Analysis of Treatment Patterns in Lung Cancer Patients., , , , , , , , , and . CBMS, page 1-7. IEEE, (2022)On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2021)Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient., , , , , , , , , and 5 other author(s). IJCNN, page 1-8. IEEE, (2023)Reconstructing the patient's natural history from electronic health records., , , , , , , and . Artif. Intell. Medicine, (2020)Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach., , , , , and . PeerJ Comput. Sci., (2022)Clustering-based Pattern Discovery in Lung Cancer Treatments., , , , , , , , , and . CBMS, page 694-699. IEEE, (2023)Deep learning to extract Breast Cancer diagnosis concepts., , , , , and . CBMS, page 13-18. IEEE, (2022)