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Incorporating medical code descriptions for diagnosis prediction in healthcare.

, , , , , , and . BMC Medical Informatics Decis. Mak., 19-S (6): 267 (2019)

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Toward Effective Mobile Promotion: A Survey of Mobile Prediction Techniques and Applications., , and . AMCIS, Association for Information Systems, (2020)Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems., , , , , , , , and . SenSys, page 183-196. ACM, (2015)IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation., , , and . IEEE BigData, page 677-682. IEEE, (2019)Multi-source Information Trustworthiness Analysis., and . ICDM Workshops, page 1600-1601. IEEE Computer Society, (2015)Incorporating medical code descriptions for diagnosis prediction in healthcare., , , , , , and . BMC Medical Informatics Decis. Mak., 19-S (6): 267 (2019)A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective., and . IEEE Trans. Knowl. Data Eng., 35 (6): 5521-5533 (June 2023)MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation., , , , , , , , , and . CoRR, (2023)Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources., , , , , , and . KDD, page 967-976. ACM, (2017)Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data., , , , , , , and . SDM, page 397-405. SIAM, (2015)Toward Quality of Information Aware Distributed Machine Learning., and . ACM Trans. Knowl. Discov. Data, 16 (6): 109:1-109:28 (2022)