Literature DB >> 18259176

What are artificial neural networks?

Anders Krogh1.   

Abstract

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they work and what might they be good for?

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Mesh：

Year:  2008        PMID： 18259176     DOI： 10.1038/nbt1386

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN： 1087-0156            Impact factor:   54.908


  50 in total

1.  Prediction of chronic obstructive pulmonary disease (COPD) in asthma patients using electronic medical records.

Authors:  Blanca E Himes; Yi Dai; Isaac S Kohane; Scott T Weiss; Marco F Ramoni
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

2.  Molecular classification of brain tumor biopsies using solid-state magic angle spinning proton magnetic resonance spectroscopy and robust classifiers.

Authors:  Ovidiu C Andronesi; Konstantinos D Blekas; Dionyssios Mintzopoulos; Loukas Astrakas; Peter M Black; A Aria Tzika
Journal:  Int J Oncol       Date:  2008-11       Impact factor: 5.650

Review 3.  Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT.

Authors:  R Shouval; O Bondi; H Mishan; A Shimoni; R Unger; A Nagler
Journal:  Bone Marrow Transplant       Date:  2013-10-07       Impact factor: 5.483

4.  Comparison of human solute carriers.

Authors:  Avner Schlessinger; Pär Matsson; James E Shima; Ursula Pieper; Sook Wah Yee; Libusha Kelly; Leonard Apeltsin; Robert M Stroud; Thomas E Ferrin; Kathleen M Giacomini; Andrej Sali
Journal:  Protein Sci       Date:  2010-03       Impact factor: 6.725

Review 5.  Artificial intelligence in radiotherapy.

Authors:  Sarkar Siddique; James C L Chow
Journal:  Rep Pract Oncol Radiother       Date:  2020-05-06

6.  Paring down signaling complexity.

Authors:  Kevin A Janes
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

7.  Quality by design approach: application of artificial intelligence techniques of tablets manufactured by direct compression.

Authors:  Buket Aksu; Anant Paradkar; Marcel de Matas; Ozgen Ozer; Tamer Güneri; Peter York
Journal:  AAPS PharmSciTech       Date:  2012-09-06       Impact factor: 3.246

Review 8.  Artificial neural networks and prostate cancer--tools for diagnosis and management.

Authors:  Xinhai Hu; Henning Cammann; Hellmuth-A Meyer; Kurt Miller; Klaus Jung; Carsten Stephan
Journal:  Nat Rev Urol       Date:  2013-02-12       Impact factor: 14.432

Review 9.  Arterial Stiffness and Coronary Ischemia: New Aspects and Paradigms.

Authors:  Alexandre Vallée; Alexandre Cinaud; Athanase Protogerou; Yi Zhang; Jirar Topouchian; Michel E Safar; Jacques Blacher
Journal:  Curr Hypertens Rep       Date:  2020-01-10       Impact factor: 5.369

10.  ELM: the status of the 2010 eukaryotic linear motif resource.

Authors:  Cathryn M Gould; Francesca Diella; Allegra Via; Pål Puntervoll; Christine Gemünd; Sophie Chabanis-Davidson; Sushama Michael; Ahmed Sayadi; Jan Christian Bryne; Claudia Chica; Markus Seiler; Norman E Davey; Niall Haslam; Robert J Weatheritt; Aidan Budd; Tim Hughes; Jakub Pas; Leszek Rychlewski; Gilles Travé; Rein Aasland; Manuela Helmer-Citterich; Rune Linding; Toby J Gibson
Journal:  Nucleic Acids Res       Date:  2009-11-17       Impact factor: 16.971
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