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Citing this Article

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Published on 16.05.18 in Vol 6, No 2 (2018): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different Sources"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.9455):

(note that this is only a small subset of citations)

  1. Li Z, Roberts K, Jiang X, Long Q. Distributed learning from multiple EHR databases: Contextual embedding models for medical events. Journal of Biomedical Informatics 2019;92:103138
    CrossRef
  2. Wang Y, Liu S, Afzal N, Rastegar-Mojarad M, Wang L, Shen F, Kingsbury P, Liu H. A comparison of word embeddings for the biomedical natural language processing. Journal of Biomedical Informatics 2018;87:12
    CrossRef
  3. Tiwari P, Colborn KL, Smith DE, Xing F, Ghosh D, Rosenberg MA. Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation. JAMA Network Open 2020;3(1):e1919396
    CrossRef
  4. Mandair D, Tiwari P, Simon S, Colborn KL, Rosenberg MA. Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data. BMC Medical Informatics and Decision Making 2020;20(1)
    CrossRef
  5. Huang Y, Jiang X, Gabriel RA, Ohno-Machado L. Calibrating predictive model estimates in a distributed network of patient data. Journal of Biomedical Informatics 2021;117:103758
    CrossRef
  6. Lee T, Lee J, Jun C. Bilingual autoencoder-based efficient harmonization of multi-source private data for accurate predictive modeling. Information Sciences 2021;568:403
    CrossRef
  7. Lee M, Kim S, Kim H, Lee J. Technology Opportunity Discovery using Deep Learning-based Text Mining and a Knowledge Graph. Technological Forecasting and Social Change 2022;180:121718
    CrossRef
  8. Li M, Lin Y, Chen H, Aparasu RR. An unsupervised embedding harmonization system for privacy-preserving data mining in healthcare. IISE Transactions on Healthcare Systems Engineering 2024;14(1):1
    CrossRef
  9. Lee T, Kim S, Lee J, Jun C. Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting. Information Sciences 2023;651:119728
    CrossRef
  10. Lee T, Kim S, Lee J, Jun C. HarmoSATE: Harmonized embedding-based self-attentive encoder to improve accuracy of privacy-preserving federated predictive analysis. Information Sciences 2024;662:120265
    CrossRef