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Items: 1 to 20 of 91

1.

Medical concept normalization in social media posts with recurrent neural networks.

Tutubalina E, Miftahutdinov Z, Nikolenko S, Malykh V.

J Biomed Inform. 2018 Aug;84:93-102. doi: 10.1016/j.jbi.2018.06.006. Epub 2018 Jun 12.

PMID:
29906585
2.

Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.

Nikfarjam A, Sarker A, O'Connor K, Ginn R, Gonzalez G.

J Am Med Inform Assoc. 2015 May;22(3):671-81. doi: 10.1093/jamia/ocu041. Epub 2015 Mar 9.

3.

Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

Cocos A, Fiks AG, Masino AJ.

J Am Med Inform Assoc. 2017 Jul 1;24(4):813-821. doi: 10.1093/jamia/ocw180.

PMID:
28339747
4.

Hybrid Semantic Analysis for Mapping Adverse Drug Reaction Mentions in Tweets to Medical Terminology.

Emadzadeh E, Sarker A, Nikfarjam A, Gonzalez G.

AMIA Annu Symp Proc. 2018 Apr 16;2017:679-688. eCollection 2017.

5.

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction.

Gupta S, Pawar S, Ramrakhiyani N, Palshikar GK, Varma V.

BMC Bioinformatics. 2018 Jun 13;19(Suppl 8):212. doi: 10.1186/s12859-018-2192-4.

6.

PREDOSE: a semantic web platform for drug abuse epidemiology using social media.

Cameron D, Smith GA, Daniulaityte R, Sheth AP, Dave D, Chen L, Anand G, Carlson R, Watkins KZ, Falck R.

J Biomed Inform. 2013 Dec;46(6):985-97. doi: 10.1016/j.jbi.2013.07.007. Epub 2013 Jul 25.

7.

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach.

Weng WH, Wagholikar KB, McCray AT, Szolovits P, Chueh HC.

BMC Med Inform Decis Mak. 2017 Dec 1;17(1):155. doi: 10.1186/s12911-017-0556-8.

8.

Normalizing clinical terms using learned edit distance patterns.

Kate RJ.

J Am Med Inform Assoc. 2016 Mar;23(2):380-6. doi: 10.1093/jamia/ocv108. Epub 2015 Jul 31.

PMID:
26232443
9.

SOCIAL MEDIA MINING SHARED TASK WORKSHOP.

Sarker A, Nikfarjam A, Gonzalez G.

Pac Symp Biocomput. 2016;21:581-92.

10.

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.

Sarker A, Belousov M, Friedrichs J, Hakala K, Kiritchenko S, Mehryary F, Han S, Tran T, Rios A, Kavuluru R, de Bruijn B, Ginter F, Mahata D, Mohammad SM, Nenadic G, Gonzalez-Hernandez G.

J Am Med Inform Assoc. 2018 Oct 1;25(10):1274-1283. doi: 10.1093/jamia/ocy114.

11.

Portable automatic text classification for adverse drug reaction detection via multi-corpus training.

Sarker A, Gonzalez G.

J Biomed Inform. 2015 Feb;53:196-207. doi: 10.1016/j.jbi.2014.11.002. Epub 2014 Nov 8.

12.

CUILESS2016: a clinical corpus applying compositional normalization of text mentions.

Osborne JD, Neu MB, Danila MI, Solorio T, Bethard SJ.

J Biomed Semantics. 2018 Jan 10;9(1):2. doi: 10.1186/s13326-017-0173-6.

13.

Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features.

Lu X, Chen Y, Li X.

IEEE Trans Image Process. 2018 Jan.;27(1):106-120. doi: 10.1109/TIP.2017.2755766.

PMID:
28952940
14.

Serendipity-A Machine-Learning Application for Mining Serendipitous Drug Usage From Social Media.

Ru B, Li D, Hu Y, Yao L.

IEEE Trans Nanobioscience. 2019 Jul;18(3):324-334. doi: 10.1109/TNB.2019.2909094. Epub 2019 Apr 4.

PMID:
30951476
15.

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

Volkova S, Ayton E, Porterfield K, Corley CD.

PLoS One. 2017 Dec 15;12(12):e0188941. doi: 10.1371/journal.pone.0188941. eCollection 2017.

16.

Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach.

He Z, Chen Z, Oh S, Hou J, Bian J.

J Biomed Inform. 2017 May;69:75-85. doi: 10.1016/j.jbi.2017.03.016. Epub 2017 Mar 27.

17.

A Hybrid Normalization Method for Medical Concepts in Clinical Narrative using Semantic Matching.

Luo YF, Sun W, Rumshisky A.

AMIA Jt Summits Transl Sci Proc. 2019 May 6;2019:732-740. eCollection 2019.

18.

NCBI disease corpus: a resource for disease name recognition and concept normalization.

Do─čan RI, Leaman R, Lu Z.

J Biomed Inform. 2014 Feb;47:1-10. doi: 10.1016/j.jbi.2013.12.006. Epub 2014 Jan 3.

19.

A distant supervision based approach to medical persona classification.

Pattisapu N, Gupta M, Kumaraguru P, Varma V.

J Biomed Inform. 2019 Jun;94:103205. doi: 10.1016/j.jbi.2019.103205. Epub 2019 May 11.

PMID:
31085324
20.

Enhancing clinical concept extraction with distributional semantics.

Jonnalagadda S, Cohen T, Wu S, Gonzalez G.

J Biomed Inform. 2012 Feb;45(1):129-40. doi: 10.1016/j.jbi.2011.10.007. Epub 2011 Nov 7.

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