Literature DB >> 7475653

Nervous about artificial neural networks?

J Wyatt1.   

Abstract

Mesh：

Year:  1995        PMID： 7475653     DOI： 10.1016/s0140-6736(95)92893-6

Source DB:  PubMed          Journal:  Lancet        ISSN： 0140-6736            Impact factor:   79.321


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  5 in total

1.  Information in full and reduced data sets of electrical impedance spectra from various skin conditions, compared using a holographic neural network.

Authors:  S Ollmar; I Nicander; J Ollmar; L Emtestam
Journal:  Med Biol Eng Comput       Date:  1997-07       Impact factor: 2.602

2.  What do senior physicians think about AI and clinical decision support systems: Quantitative and qualitative analysis of data from specialty societies.

Authors:  Haroldas Petkus; Jan Hoogewerf; Jeremy C Wyatt
Journal:  Clin Med (Lond)       Date:  2020-05       Impact factor: 2.659

3.  Models for prediction of mortality from cirrhosis with special reference to artificial neural network: a critical review.

Authors:  Uday Chand Ghoshal; Ananya Das
Journal:  Hepatol Int       Date:  2007-11-27       Impact factor: 6.047

4.  Prediction of outcome in cancer patients with febrile neutropenia: a prospective validation of the Multinational Association for Supportive Care in Cancer risk index in a Chinese population and comparison with the Talcott model and artificial neural network.

Authors:  Edwin Pun Hui; Linda K S Leung; Terence C W Poon; Frankie Mo; Vicky T C Chan; Ada T W Ma; Annette Poon; Eugenie K Hui; So-Shan Mak; Maria Lai; Kenny I K Lei; Brigette B Y Ma; Tony S K Mok; Winnie Yeo; Benny C Y Zee; Anthony T C Chan
Journal:  Support Care Cancer       Date:  2010-09-04       Impact factor: 3.603

5.  Artificial neural networks as prediction tools in the critically ill.

Authors:  Gilles Clermont
Journal:  Crit Care       Date:  2005-03-03       Impact factor: 9.097
  5 in total

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