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t-w2v  (Cerner Corporation)

 
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    Cerner Corporation t-w2v
    Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.
    T W2v, supplied by Cerner Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/t-w2v/t+w2v/pmc08137882-182-31-36
    Average 90 stars, based on 1 article reviews
    t-w2v - by Bioz Stars, 2026-09
    90/100 stars

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    1) Product Images from "Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction"

    Article Title: Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

    Journal: NPJ Digital Medicine

    doi: 10.1038/s41746-021-00455-y

    Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.
    Figure Legend Snippet: Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.

    Techniques Used:

    Related Articles

    other:

    Article Title: Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
    Article Snippet: For all three tasks, we conducted three experiments: (1) Ex-1: to evaluate how Med-BERT can contribute to state-of-the-art methods; (2) Ex-2: to compare Med-BERT with one state-of-the-art static clinical word2vec-style embedding, t-W2V (trained on the full Cerner cohort) ; and (3) Ex-3: to investigate how much the pretrained model can help in transfer learning with various training sample sizes.



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    t-w2v  (Cerner Corporation)
    90
    Cerner Corporation t-w2v
    Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.
    T W2v, supplied by Cerner Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/t-w2v/t+w2v/pmc08137882-182-31-36
    Average 90 stars, based on 1 article reviews
    t-w2v - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

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    Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.

    Journal: NPJ Digital Medicine

    Article Title: Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

    doi: 10.1038/s41746-021-00455-y

    Figure Lengend Snippet: Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.

    Article Snippet: For all three tasks, we conducted three experiments: (1) Ex-1: to evaluate how Med-BERT can contribute to state-of-the-art methods; (2) Ex-2: to compare Med-BERT with one state-of-the-art static clinical word2vec-style embedding, t-W2V (trained on the full Cerner cohort) ; and (3) Ex-3: to investigate how much the pretrained model can help in transfer learning with various training sample sizes.

    Techniques: