Similar articles for PMID: 30979067

Year	Number of Results
2007	1
2009	1
2011	1
2012	2
2013	1
2014	7
2015	16
2016	15
2017	28
2018	40
2019	86
2020	76
2021	78
2022	64
2023	14
2024	0

1

Using Twitter Data to Monitor Natural Disaster Social Dynamics: A Recurrent Neural Network Approach with Word Embeddings and Kernel Density Estimation.

Hernandez-Suarez A, Sanchez-Perez G, Toscano-Medina K, Perez-Meana H, Portillo-Portillo J, And Luis VS, Javier García Villalba L. Hernandez-Suarez A, et al. Sensors (Basel). 2019 Apr 11;19(7):1746. doi: 10.3390/s19071746. Sensors (Basel). 2019. PMID: 30979067 Free PMC article.

2

Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.

Batbaatar E, Ryu KH. Batbaatar E, et al. Int J Environ Res Public Health. 2019 Sep 27;16(19):3628. doi: 10.3390/ijerph16193628. Int J Environ Res Public Health. 2019. PMID: 31569654 Free PMC article.

3

Entity recognition from clinical texts via recurrent neural network.

Liu Z, Yang M, Wang X, Chen Q, Tang B, Wang Z, Xu H. Liu Z, et al. BMC Med Inform Decis Mak. 2017 Jul 5;17(Suppl 2):67. doi: 10.1186/s12911-017-0468-7. BMC Med Inform Decis Mak. 2017. PMID: 28699566 Free PMC article.

4

Social media mining for birth defects research: A rule-based, bootstrapping approach to collecting data for rare health-related events on Twitter.

Klein AZ, Sarker A, Cai H, Weissenbacher D, Gonzalez-Hernandez G. Klein AZ, et al. J Biomed Inform. 2018 Nov;87:68-78. doi: 10.1016/j.jbi.2018.10.001. Epub 2018 Oct 4. J Biomed Inform. 2018. PMID: 30292855 Free PMC article.

5

Long short-term memory RNN for biomedical named entity recognition.

Lyu C, Chen B, Ren Y, Ji D. Lyu C, et al. BMC Bioinformatics. 2017 Oct 30;18(1):462. doi: 10.1186/s12859-017-1868-5. BMC Bioinformatics. 2017. PMID: 29084508 Free PMC article.

6

Forecasting influenza-like illness dynamics for military populations using neural networks and social media.

Volkova S, Ayton E, Porterfield K, Corley CD. Volkova S, et al. PLoS One. 2017 Dec 15;12(12):e0188941. doi: 10.1371/journal.pone.0188941. eCollection 2017. PLoS One. 2017. PMID: 29244814 Free PMC article.

7

Identifying health related occupations of Twitter users through word embedding and deep neural networks.

Zainab K, Srivastava G, Mago V. Zainab K, et al. BMC Bioinformatics. 2022 Sep 28;22(Suppl 10):630. doi: 10.1186/s12859-022-04933-2. BMC Bioinformatics. 2022. PMID: 36171569 Free PMC article.

8

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition.

Jauregi Unanue I, Zare Borzeshi E, Piccardi M. Jauregi Unanue I, et al. J Biomed Inform. 2017 Dec;76:102-109. doi: 10.1016/j.jbi.2017.11.007. Epub 2017 Nov 13. J Biomed Inform. 2017. PMID: 29146561 Free article.

9

Word embeddings and recurrent neural networks based on Long-Short Term Memory nodes in supervised biomedical word sense disambiguation.

Jimeno Yepes A. Jimeno Yepes A. J Biomed Inform. 2017 Sep;73:137-147. doi: 10.1016/j.jbi.2017.08.001. Epub 2017 Aug 7. J Biomed Inform. 2017. PMID: 28797709 Free article.

10

Named entity recognition from Chinese adverse drug event reports with lexical feature based BiLSTM-CRF and tri-training.

Chen Y, Zhou C, Li T, Wu H, Zhao X, Ye K, Liao J. Chen Y, et al. J Biomed Inform. 2019 Aug;96:103252. doi: 10.1016/j.jbi.2019.103252. Epub 2019 Jul 16. J Biomed Inform. 2019. PMID: 31323311 Free article.

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