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Improving EHR Chart Review Efficiency via Semantic Similarity Assessment., , , , , , , , , and . AMIA, AMIA, (2017)Unsupervised Ensemble Learning via Ising Model Approximation with Application to Phenotyping Prediction., and . CoRR, (2018)High-throughput multimodal automated phenotyping (MAP) with application to PheWAS., , , , , , , , , and 9 other author(s). J. Am. Medical Informatics Assoc., 26 (11): 1255-1262 (2019)High-Throughput Multimodal Automated Phenotyping (MAP) Incorporating Natural Language Processing with Application to PheWAS., , , , , , , , , and 8 other author(s). AMIA, AMIA, (2018)High-throughput Phenotyping via Denoised Normal Mixture Transformation., , , , , , , , , and 2 other author(s). AMIA, AMIA, (2017)Surrogate-assisted feature extraction for high-throughput phenotyping., , , , , , , , , and 1 other author(s). JAMIA, 24 (e1): e143-e149 (2017)EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research., , , , , , and . BMC Medical Informatics Decis. Mak., 19 (1): 226:1-226:7 (2019)Enabling phenotypic big data with PheNorm., , , , , , , , , and 2 other author(s). JAMIA, 25 (1): 54-60 (2018)Automated grouping of medical codes via multiview banded spectral clustering., , , , , , , , , and 3 other author(s). J. Biomed. Informatics, (2019)