pretrained word2vec model Search Results


word2vec  (Baidu Inc)
90
Baidu Inc word2vec
Word2vec, supplied by Baidu Inc, 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/result/word2vec/product/Baidu Inc
Average 90 stars, based on 1 article reviews
word2vec - by Bioz Stars, 2026-03
90/100 stars
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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/result/t-w2v/product/Cerner Corporation
Average 90 stars, based on 1 article reviews
t-w2v - by Bioz Stars, 2026-03
90/100 stars
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xsl·fo  (RenderX Inc)
90
RenderX Inc xsl·fo
Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.
Xsl·Fo, supplied by RenderX Inc, 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/result/xsl·fo/product/RenderX Inc
Average 90 stars, based on 1 article reviews
xsl·fo - by Bioz Stars, 2026-03
90/100 stars
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pretrained word2vec model  (TenCent Inc)
90
TenCent Inc pretrained word2vec model
Average AUC values and standard deviations (in parentheses) for the different methods for the three evaluation tasks.
Pretrained Word2vec Model, supplied by TenCent Inc, 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/result/pretrained word2vec model/product/TenCent Inc
Average 90 stars, based on 1 article reviews
pretrained word2vec model - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


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: