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Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer.

, , , , , , , , , , , , , and . J. Biomed. Informatics, (August 2023)

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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)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)A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records., , , , , , , and . CBMS, page 193-196. IEEE, (2020)Towards Treatment Patterns Validation in Lung Cancer Patients., , , , , , , , and . DSAA, page 1-8. IEEE, (2021)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)Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach., , , , , and . PeerJ Comput. Sci., (2022)