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Items: 1 to 20 of 22

1.

Swarm intelligence metaheuristics for enhanced data analysis and optimization.

Hanrahan G.

Analyst. 2011 Sep 21;136(18):3587-94. doi: 10.1039/c1an15369b. Epub 2011 Aug 5. Review.

PMID:
21818487
2.
3.

Neural networks in building QSAR models.

Baskin II, Palyulin VA, Zefirov NS.

Methods Mol Biol. 2008;458:137-58. Review.

PMID:
19065809
4.

Artificial neural networks in foodstuff analyses: Trends and perspectives A review.

Marini F.

Anal Chim Acta. 2009 Mar 9;635(2):121-31. doi: 10.1016/j.aca.2009.01.009. Epub 2009 Jan 10. Review.

PMID:
19216869
5.

Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.

Agatonovic-Kustrin S, Beresford R.

J Pharm Biomed Anal. 2000 Jun;22(5):717-27. Review.

PMID:
10815714
6.

Biological applications of support vector machines.

Yang ZR.

Brief Bioinform. 2004 Dec;5(4):328-38. Review.

7.

Rough sets and near sets in medical imaging: a review.

Hassanien AE, Abraham A, Peters JF, Schaefer G, Henry C.

IEEE Trans Inf Technol Biomed. 2009 Nov;13(6):955-68. doi: 10.1109/TITB.2009.2017017. Epub 2009 Mar 16. Review.

PMID:
19304490
8.

Application of artificial intelligence to the management of urological cancer.

Abbod MF, Catto JW, Linkens DA, Hamdy FC.

J Urol. 2007 Oct;178(4 Pt 1):1150-6. Epub 2007 Aug 14. Review.

PMID:
17698099
9.

Computational tools for the modern andrologist.

Niederberger C.

J Androl. 1996 Sep-Oct;17(5):462-6. Review.

10.

Neural networks and psychiatry: candidate applications in clinical decision making.

Florio T, Einfeld S, Levy F.

Aust N Z J Psychiatry. 1994 Dec;28(4):651-66. Review.

PMID:
7794209
11.

Modeling of biological intelligence for SCM system optimization.

Chen S, Zheng Y, Cattani C, Wang W.

Comput Math Methods Med. 2012;2012:769702. doi: 10.1155/2012/769702. Epub 2011 Nov 24. Review.

12.

Diagnostic classification of cancer using DNA microarrays and artificial intelligence.

Greer BT, Khan J.

Ann N Y Acad Sci. 2004 May;1020:49-66. Review.

PMID:
15208183
13.

Machine learning in virtual screening.

Melville JL, Burke EK, Hirst JD.

Comb Chem High Throughput Screen. 2009 May;12(4):332-43. Review.

PMID:
19442063
14.

Supervised learning with decision tree-based methods in computational and systems biology.

Geurts P, Irrthum A, Wehenkel L.

Mol Biosyst. 2009 Dec;5(12):1593-605. doi: 10.1039/b907946g. Epub 2009 Oct 5. Review.

PMID:
20023720
15.

Artificial neural networks in gynaecological diseases: current and potential future applications.

Siristatidis CS, Chrelias C, Pouliakis A, Katsimanis E, Kassanos D.

Med Sci Monit. 2010 Oct;16(10):RA231-6. Review.

PMID:
20885366
16.

[Algorithms of artificial neural networks--practical application in medical science].

Stefaniak B, CholewiƄski W, Tarkowska A.

Pol Merkur Lekarski. 2005 Dec;19(114):819-22. Review. Polish.

PMID:
16521432
17.

[Review: Segmentation and classification methods of 3D medical images].

Tan O, Duan HL, Lu WX.

Zhongguo Yi Liao Qi Xie Za Zhi. 2002 Mar;26(3):197-206. Review. Chinese.

PMID:
16104307
18.

Artificial neural networks: theoretical background and pharmaceutical applications: a review.

Wesolowski M, Suchacz B.

J AOAC Int. 2012 May-Jun;95(3):652-68. Review.

PMID:
22816255
19.

Insight and analysis problem solving in microbes to machines.

Clark KB.

Prog Biophys Mol Biol. 2015 Nov;119(2):183-93. doi: 10.1016/j.pbiomolbio.2015.08.018. Epub 2015 Aug 13. Review.

PMID:
26278642
20.

Neural networks and neuroscience-inspired computer vision.

Cox DD, Dean T.

Curr Biol. 2014 Sep 22;24(18):R921-9. doi: 10.1016/j.cub.2014.08.026. Review.

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