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Applying contrastive pre-training for depression and anxiety risk prediction in type 2 diabetes patients based on heterogeneous electronic health records: a primary healthcare case study., , , , , , , , and . J. Am. Medical Informatics Assoc., 31 (2): 445-455 (January 2024)Prediction of disease comorbidity using explainable artificial intelligence and machine learning techniques: A systematic review., , , , , , and . Int. J. Medical Informatics, (July 2023)Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations., , , , , , , , , and 27 other author(s). CoRR, (2022)A Unified Review of Deep Learning for Automated Medical Coding., , , , and . CoRR, (2022)A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data., , , , , , , , , and . CoRR, (2020)A systematic review of natural language processing applied to radiology reports., , , , , , , , , and 2 other author(s). BMC Medical Informatics Decis. Mak., 21 (1): 179 (2021)Automated clinical coding: what, why, and where we are?, , , , , , , and . npj Digit. Medicine, (2022)How Redundant Is It? - An Empirical Analysis on Linked Datasets., , , and . COLD, volume 1264 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Exploring Multimodal Large Language Models for Radiology Report Error-checking., , , , , , , , , and . CoRR, (2023)KnowLab at BioCreative VII Track 5 LitCovid: Ensemble of deep learning models from diverse sources for COVID-19 literature classification, , , , and . (2021)