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Items: 19

1.

Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Velupillai S, Suominen H, Liakata M, Roberts A, Shah AD, Morley K, Osborn D, Hayes J, Stewart R, Downs J, Chapman W, Dutta R.

J Biomed Inform. 2018 Dec;88:11-19. doi: 10.1016/j.jbi.2018.10.005. Epub 2018 Oct 24.

2.

Building and evaluating resources for sentiment analysis in the Greek language.

Tsakalidis A, Papadopoulos S, Voskaki R, Ioannidou K, Boididou C, Cristea AI, Liakata M, Kompatsiaris Y.

Lang Resour Eval. 2018;52(4):1021-1044. doi: 10.1007/s10579-018-9420-4. Epub 2018 Jul 14.

3.

Corrigendum: Characterisation of mental health conditions in social media using Informed Deep Learning.

Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJP, Dobson RJB, Dutta R.

Sci Rep. 2017 May 16;7:46813. doi: 10.1038/srep46813. No abstract available.

4.

Characterisation of mental health conditions in social media using Informed Deep Learning.

Gkotsis G, Oellrich A, Velupillai S, Liakata M, Hubbard TJ, Dobson RJ, Dutta R.

Sci Rep. 2017 Mar 22;7:45141. doi: 10.1038/srep45141. Erratum in: Sci Rep. 2017 May 16;7:46813.

5.

Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements.

Ravenscroft J, Liakata M, Clare A, Duma D.

PLoS One. 2017 Mar 9;12(3):e0173152. doi: 10.1371/journal.pone.0173152. eCollection 2017.

6.

Pneumonia and Pleural Empyema due to a Mixed Lactobacillus spp. Infection as a Possible Early Esophageal Carcinoma Signature.

Chaini E, Chainis ND, Ioannidis A, Magana M, Nikolaou C, Papaparaskevas J, Liakata MV, Katopodis P, Papastavrou L, Tegos GP, Chatzipanagiotou S.

Front Med (Lausanne). 2016 Sep 28;3:42. eCollection 2016.

7.

Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads.

Zubiaga A, Liakata M, Procter R, Wong Sak Hoi G, Tolmie P.

PLoS One. 2016 Mar 4;11(3):e0150989. doi: 10.1371/journal.pone.0150989. eCollection 2016.

8.

Merits of random forests emerge in evaluation of chemometric classifiers by external validation.

Scott IM, Lin W, Liakata M, Wood JE, Vermeer CP, Allaway D, Ward JL, Draper J, Beale MH, Corol DI, Baker JM, King RD.

Anal Chim Acta. 2013 Nov 1;801:22-33. doi: 10.1016/j.aca.2013.09.027. Epub 2013 Sep 23.

PMID:
24139571
9.

First report of a phylogenetic analysis of an autochthonous Plasmodium vivax strain isolated from a malaria case in East Attica, Greece.

Ioannidis A, Nicolaou C, Stoupi A, Kossyvakis A, Matsoukas P, Liakata MV, Magiorkinis E, Petinaki E, Chatzipanagiotou S.

Malar J. 2013 Aug 29;12:299. doi: 10.1186/1475-2875-12-299.

10.

Biological network extraction from scientific literature: state of the art and challenges.

Li C, Liakata M, Rebholz-Schuhmann D.

Brief Bioinform. 2014 Sep;15(5):856-77. doi: 10.1093/bib/bbt006. Epub 2013 Feb 22.

PMID:
23434632
11.

Dynamic enhancement of drug product labels to support drug safety, efficacy, and effectiveness.

Boyce RD, Horn JR, Hassanzadeh O, Waard Ad, Schneider J, Luciano JS, Rastegar-Mojarad M, Liakata M.

J Biomed Semantics. 2013 Jan 26;4(1):5. doi: 10.1186/2041-1480-4-5.

12.

Three hybrid classifiers for the detection of emotions in suicide notes.

Liakata M, Kim JH, Saha S, Hastings J, Rebholz-Schuhmann D.

Biomed Inform Insights. 2012;5(Suppl. 1):175-84. doi: 10.4137/BII.S8967. Epub 2012 Jan 30.

13.

Automatic recognition of conceptualization zones in scientific articles and two life science applications.

Liakata M, Saha S, Dobnik S, Batchelor C, Rebholz-Schuhmann D.

Bioinformatics. 2012 Apr 1;28(7):991-1000. doi: 10.1093/bioinformatics/bts071. Epub 2012 Feb 8.

14.

On the formalization and reuse of scientific research.

King RD, Liakata M, Lu C, Oliver SG, Soldatova LN.

J R Soc Interface. 2011 Oct 7;8(63):1440-8. doi: 10.1098/rsif.2011.0029. Epub 2011 Apr 13.

15.

A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment.

Guo Y, Korhonen A, Liakata M, Silins I, Hogberg J, Stenius U.

BMC Bioinformatics. 2011 Mar 8;12:69. doi: 10.1186/1471-2105-12-69.

16.

Enhancement of plant metabolite fingerprinting by machine learning.

Scott IM, Vermeer CP, Liakata M, Corol DI, Ward JL, Lin W, Johnson HE, Whitehead L, Kular B, Baker JM, Walsh S, Dave A, Larson TR, Graham IA, Wang TL, King RD, Draper J, Beale MH.

Plant Physiol. 2010 Aug;153(4):1506-20. doi: 10.1104/pp.109.150524. Epub 2010 Jun 21.

17.

Towards Robot Scientists for autonomous scientific discovery.

Sparkes A, Aubrey W, Byrne E, Clare A, Khan MN, Liakata M, Markham M, Rowland J, Soldatova LN, Whelan KE, Young M, King RD.

Autom Exp. 2010 Jan 4;2:1. doi: 10.1186/1759-4499-2-1.

18.

Make way for robot scientists.

King RD, Rowland J, Oliver SG, Young M, Aubrey W, Byrne E, Liakata M, Markham M, Pir P, Soldatova LN, Sparkes A, Whelan KE, Clare A.

Science. 2009 Aug 21;325(5943):945. doi: 10.1126/science.325_945a. No abstract available.

PMID:
19696334
19.

The automation of science.

King RD, Rowland J, Oliver SG, Young M, Aubrey W, Byrne E, Liakata M, Markham M, Pir P, Soldatova LN, Sparkes A, Whelan KE, Clare A.

Science. 2009 Apr 3;324(5923):85-9. doi: 10.1126/science.1165620.

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