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Deep learning for cancer type classification and driver gene identification., , , , , , , and . BMC Bioinform., 22-S (4): 491 (2021)TIMER2.0 for analysis of tumor-infiltrating immune cells., , , , , , , and . Nucleic Acids Res., 48 (Webserver-Issue): W509-W514 (2020)Analysis of multi-patient rapid response processes: An iterative approach., , , , and . CASE, page 740-745. IEEE, (2015)Identifying Breast Cancer Distant Recurrences from Electronic Health Records Using Machine Learning., , , , , , , and . J. Heal. Informatics Res., 3 (3): 283-299 (2019)Using natural language processing and machine learning to identify breast cancer local recurrence., , , , , , , , and . BMC Bioinform., 19-S (17): 65-74 (2018)TISMO: syngeneic mouse tumor database to model tumor immunity and immunotherapy response., , , , , , , , , and 10 other author(s). Nucleic Acids Res., 50 (D1): 1391-1397 (2022)Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements., , , , , , and . BMC Medical Informatics Decis. Mak., 19-S (1): 16:1-16:12 (2019)Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images., , , , and . BIBM, page 1209-1214. IEEE Computer Society, (2018)Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer., , , , , , and . ICHI, page 44-52. IEEE Computer Society, (2018)An analytical model for performance evaluation of operating room schedules in orthopedic surgery., , , , and . CASE, page 570-575. IEEE, (2014)