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Items: 1 to 20 of 94

1.

CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer.

Griffith M, Spies NC, Krysiak K, McMichael JF, Coffman AC, Danos AM, Ainscough BJ, Ramirez CA, Rieke DT, Kujan L, Barnell EK, Wagner AH, Skidmore ZL, Wollam A, Liu CJ, Jones MR, Bilski RL, Lesurf R, Feng YY, Shah NM, Bonakdar M, Trani L, Matlock M, Ramu A, Campbell KM, Spies GC, Graubert AP, Gangavarapu K, Eldred JM, Larson DE, Walker JR, Good BM, Wu C, Su AI, Dienstmann R, Margolin AA, Tamborero D, Lopez-Bigas N, Jones SJ, Bose R, Spencer DH, Wartman LD, Wilson RK, Mardis ER, Griffith OL.

Nat Genet. 2017 Jan 31;49(2):170-174. doi: 10.1038/ng.3774. No abstract available.

2.

Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

McCoy AB, Wright A, Krousel-Wood M, Thomas EJ, McCoy JA, Sittig DF.

Appl Clin Inform. 2015 May 20;6(2):334-44. doi: 10.4338/ACI-2015-01-RA-0010. eCollection 2015.

3.

Crowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowd.

Irshad H, Montaser-Kouhsari L, Waltz G, Bucur O, Nowak JA, Dong F, Knoblauch NW, Beck AH.

Pac Symp Biocomput. 2015:294-305.

4.

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.

Li C, Zhao P, Sheng VS, Xian X, Wu J, Cui Z.

Comput Intell Neurosci. 2017;2017:4092135. doi: 10.1155/2017/4092135. Epub 2017 May 14.

5.

Development and evaluation of a crowdsourcing methodology for knowledge base construction: identifying relationships between clinical problems and medications.

McCoy AB, Wright A, Laxmisan A, Ottosen MJ, McCoy JA, Butten D, Sittig DF.

J Am Med Inform Assoc. 2012 Sep-Oct;19(5):713-8. doi: 10.1136/amiajnl-2012-000852. Epub 2012 May 12.

6.

Crowdsourcing applications for public health.

Brabham DC, Ribisl KM, Kirchner TR, Bernhardt JM.

Am J Prev Med. 2014 Feb;46(2):179-87. doi: 10.1016/j.amepre.2013.10.016. Review.

PMID:
24439353
7.

Norine, the knowledgebase dedicated to non-ribosomal peptides, is now open to crowdsourcing.

Flissi A, Dufresne Y, Michalik J, Tonon L, Janot S, Noé L, Jacques P, Leclère V, Pupin M.

Nucleic Acids Res. 2016 Jan 4;44(D1):D1113-8. doi: 10.1093/nar/gkv1143. Epub 2015 Nov 2.

8.

Crowdsourcing 101: a few basics to make you the leader of the pack.

Parvanta C, Roth Y, Keller H.

Health Promot Pract. 2013 Mar;14(2):163-7. doi: 10.1177/1524839912470654. Epub 2013 Jan 8.

PMID:
23299912
9.

The application of crowdsourcing approaches to cancer research: a systematic review.

Lee YJ, Arida JA, Donovan HS.

Cancer Med. 2017 Nov;6(11):2595-2605. doi: 10.1002/cam4.1165. Epub 2017 Sep 29. Review.

10.

Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method.

Irshad H, Oh EY, Schmolze D, Quintana LM, Collins L, Tamimi RM, Beck AH.

Sci Rep. 2017 Feb 23;7:43286. doi: 10.1038/srep43286.

11.

Novel approaches to develop community-built biological network models for potential drug discovery.

Talikka M, Bukharov N, Hayes WS, Hofmann-Apitius M, Alexopoulos L, Peitsch MC, Hoeng J.

Expert Opin Drug Discov. 2017 Aug;12(8):849-857. doi: 10.1080/17460441.2017.1335302. Epub 2017 Jun 6. Review.

PMID:
28585481
12.

Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing.

Burger JD, Doughty E, Khare R, Wei CH, Mishra R, Aberdeen J, Tresner-Kirsch D, Wellner B, Kann MG, Lu Z, Hirschman L.

Database (Oxford). 2014 Sep 22;2014. pii: bau094. doi: 10.1093/database/bau094. Print 2014.

13.
14.

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.

Albarqouni S, Baur C, Achilles F, Belagiannis V, Demirci S, Navab N.

IEEE Trans Med Imaging. 2016 May;35(5):1313-21. doi: 10.1109/TMI.2016.2528120. Epub 2016 Feb 11.

PMID:
26891484
15.

Strength in numbers: Crowdsourcing the most relevant literature in pediatric cardiology.

Knadler JJ, Penny DJ, Harris TH, Webb GD, Cabrera AG, Kyle WB.

Congenit Heart Dis. 2018 Sep;13(5):794-798. doi: 10.1111/chd.12669. Epub 2018 Sep 3. Review.

PMID:
30178626
16.

Crowdsourcing for translational research: analysis of biomarker expression using cancer microarrays.

Lawson J, Robinson-Vyas RJ, McQuillan JP, Paterson A, Christie S, Kidza-Griffiths M, McDuffus LA, Moutasim KA, Shaw EC, Kiltie AE, Howat WJ, Hanby AM, Thomas GJ, Smittenaar P.

Br J Cancer. 2017 Jan 17;116(2):237-245. doi: 10.1038/bjc.2016.404. Epub 2016 Dec 13.

17.

A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

Li D, Rastegar Mojarad M, Li Y, Sohn S, Mehrabi S, Komandur Elayavilli R, Yu Y, Liu H.

Stud Health Technol Inform. 2015;216:1033-4.

18.

Crowdsourcing for error detection in cortical surface delineations.

Ganz M, Kondermann D, Andrulis J, Knudsen GM, Maier-Hein L.

Int J Comput Assist Radiol Surg. 2017 Jan;12(1):161-166. doi: 10.1007/s11548-016-1445-9. Epub 2016 Jun 27.

PMID:
27350057
19.

Provider impressions of the use of a mobile crowdsourcing app in medical practice.

Sims MH, Fagnano M, Halterman JS, Halterman MW.

Health Informatics J. 2016 Jun;22(2):221-31. doi: 10.1177/1460458214545896. Epub 2014 Aug 28.

PMID:
25167866
20.

Global optimization of somatic variant identification in cancer genomes with a global community challenge.

Boutros PC, Ewing AD, Ellrott K, Norman TC, Dang KK, Hu Y, Kellen MR, Suver C, Bare JC, Stein LD, Spellman PT, Stolovitzky G, Friend SH, Margolin AA, Stuart JM.

Nat Genet. 2014 Apr;46(4):318-319. doi: 10.1038/ng.2932. No abstract available.

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