Literature DB >> 32858170

Sharpening the resolution on data matters: a brief roadmap for understanding deep learning for medical data.

Allen Schmaltz1, Andrew L Beam2.   

Abstract

Entities:  

Keywords:  Artificial intelligence; Big data; Machine learning; Natural language processing

Mesh：

Year:  2020        PMID： 32858170      PMCID： PMC7904953          DOI： 10.1016/j.spinee.2020.08.012

Source DB:  PubMed          Journal:  Spine J        ISSN： 1529-9430            Impact factor:   4.297


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  15 in total

1.  Framewise phoneme classification with bidirectional LSTM and other neural network architectures.

Authors:  Alex Graves; Jürgen Schmidhuber
Journal:  Neural Netw       Date:  2005 Jun-Jul

2.  A logical calculus of the ideas immanent in nervous activity. 1943.

Authors:  W S McCulloch; W Pitts
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

Review 3.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

4.  Deep Learning-A Technology With the Potential to Transform Health Care.

Authors:  Geoffrey Hinton
Journal:  JAMA       Date:  2018-09-18       Impact factor: 56.272

5.  Artificial vision by multi-layered neural networks: neocognitron and its advances.

Authors:  Kunihiko Fukushima
Journal:  Neural Netw       Date:  2012-10-05

6.  Big Data and Machine Learning in Health Care.

Authors:  Andrew L Beam; Isaac S Kohane
Journal:  JAMA       Date:  2018-04-03       Impact factor: 56.272

7.  Dissecting racial bias in an algorithm used to manage the health of populations.

Authors:  Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

8.  Neocognitron: a self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

Authors:  K Fukushima
Journal:  Biol Cybern       Date:  1980       Impact factor: 2.086

Review 9.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

10.  Biases in electronic health record data due to processes within the healthcare system: retrospective observational study.

Authors:  Denis Agniel; Isaac S Kohane; Griffin M Weber
Journal:  BMJ       Date:  2018-04-30
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  2 in total

Review 1.  Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review.

Authors:  Benjamin Kompa; Joe B Hakim; Anil Palepu; Kathryn Grace Kompa; Michael Smith; Paul A Bain; Stephen Woloszynek; Jeffery L Painter; Andrew Bate; Andrew L Beam
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.606

2.  A structural characterization of shortcut features for prediction.

Authors:  David Bellamy; Miguel A Hernán; Andrew Beam
Journal:  Eur J Epidemiol       Date:  2022-07-06       Impact factor: 12.434
  2 in total

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