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Deep learning for healthcare: review, opportunities and challenges., , , , and . Briefings in Bioinformatics, 19 (6): 1236-1246 (2018)Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams., , , , , and . Briefings in Bioinformatics, 18 (1): 105-124 (2017)Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment., , , , and . Briefings in Bioinformatics, 17 (5): 841-862 (2016)Automated cell type discovery and classification through knowledge transfer., , , , and . Bioinformatics, 33 (11): 1689-1695 (2017)PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model., , , , , , , , , and 12 other author(s). Bioinformatics, 35 (21): 4515-4518 (2019)Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age., , , , , and . Journal of Biomedical Informatics, (2017)Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables., , , , and . PSB, page 415-426. (2019)Automated disease cohort selection using word embeddings from Electronic Health Records., , , , , , and . PSB, page 145-156. (2018)Causal inference on electronic health records to assess blood pressure treatment targets: An application of the parametric g formula., , , , and . PSB, page 180-191. (2018)Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning., , , , , , , , , and 3 other author(s). Briefings in Bioinformatics, 19 (4): 656-678 (2018)