| | --- |
| | language: |
| | - ru |
| | - en |
| | tags: |
| | - bio |
| | - med |
| | - biomedical |
| | --- |
| | |
| | ## EnDR-BERT |
| |
|
| | EnDR-BERT - Multilingual, Cased, which pretrained on the english collection of consumer comments on drug administration from [2]. Pre-training was based on the [original BERT code](https://github.com/google-research/bert) provided by Google. In particular, Multi-BERT was for used for initialization and all the parameters are the same as in Multi-BERT. Training details are described in our paper. \ |
| | link: https://yadi.sk/d/-PTn0xhk1PqvgQ |
| | |
| | |
| | ## Citing & Authors |
| |
|
| | If you find this repository helpful, feel free to cite our publication: |
| |
|
| | [1] Tutubalina E, Alimova I, Miftahutdinov Z, et al. The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews.//Bioinformatics. - 2020. |
| |
|
| | preprint: https://arxiv.org/abs/2004.03659 |
| | ``` |
| | @article{10.1093/bioinformatics/btaa675, |
| | author = {Tutubalina, Elena and Alimova, Ilseyar and Miftahutdinov, Zulfat and Sakhovskiy, Andrey and Malykh, Valentin and Nikolenko, Sergey}, |
| | title = "{The Russian Drug Reaction Corpus and Neural Models for Drug Reactions and Effectiveness Detection in User Reviews}", |
| | journal = {Bioinformatics}, |
| | year = {2020}, |
| | month = {07}, |
| | issn = {1367-4803}, |
| | doi = {10.1093/bioinformatics/btaa675}, |
| | url = {https://doi.org/10.1093/bioinformatics/btaa675}, |
| | note = {btaa675}, |
| | eprint = {https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa675/33539752/btaa675.pdf}, |
| | } |
| | ``` |
| | [2] Tutubalina, EV and Miftahutdinov, Z Sh and Nugmanov, RI and Madzhidov, TI and Nikolenko, SI and Alimova, IS and Tropsha, AE Using semantic analysis of texts for the identification of drugs with similar therapeutic effects.//Russian Chemical Bulletin. – 2017. – Т. 66. – №. 11. – С. 2180-2189. |
| | [link to paper](https://www.researchgate.net/profile/Elena_Tutubalina/publication/323751823_Using_semantic_analysis_of_texts_for_the_identification_of_drugs_with_similar_therapeutic_effects/links/5bf7cfc3299bf1a0202cbc1f/Using-semantic-analysis-of-texts-for-the-identification-of-drugs-with-similar-therapeutic-effects.pdf) |
| | ``` |
| | @article{tutubalina2017using, |
| | title={Using semantic analysis of texts for the identification of drugs with similar therapeutic effects}, |
| | author={Tutubalina, EV and Miftahutdinov, Z Sh and Nugmanov, RI and Madzhidov, TI and Nikolenko, SI and Alimova, IS and Tropsha, AE}, |
| | journal={Russian Chemical Bulletin}, |
| | volume={66}, |
| | number={11}, |
| | pages={2180--2189}, |
| | year={2017}, |
| | publisher={Springer} |
| | } |
| | ``` |
| | |
