Literature DB >> 28315078

Can machine learning spin straw into gold?

Rittu Hingorani1, Christopher L Hansen2,3.   

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Year:  2017        PMID： 28315078     DOI： 10.1007/s12350-017-0848-5

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN： 1071-3581            Impact factor:   5.952


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  6 in total

Review 1.  Comparison of artificial neural networks with other statistical approaches: results from medical data sets.

Authors:  D J Sargent
Journal:  Cancer       Date:  2001-04-15       Impact factor: 6.860

Review 2.  Artificial neural networks: current status in cardiovascular medicine.

Authors:  D Itchhaporia; P B Snow; R J Almassy; W J Oetgen
Journal:  J Am Coll Cardiol       Date:  1996-08       Impact factor: 24.094

3.  Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease.

Authors:  G A Diamond; J S Forrester
Journal:  N Engl J Med       Date:  1979-06-14       Impact factor: 91.245

4.  Artificial neural network-based model enhances risk stratification and reduces non-invasive cardiac stress imaging compared to Diamond-Forrester and Morise risk assessment models: A prospective study.

Authors:  Hussain A Isma'eel; George E Sakr; Mustapha Serhan; Nader Lamaa; Ayman Hakim; Paul C Cremer; Wael A Jaber; Torkom Garabedian; Imad Elhajj; Antoine B Abchee
Journal:  J Nucl Cardiol       Date:  2017-02-21       Impact factor: 5.952

5.  Use of an artificial neural network for the diagnosis of myocardial infarction.

Authors:  W G Baxt
Journal:  Ann Intern Med       Date:  1991-12-01       Impact factor: 25.391

6.  Development and validation of a logistic regression-derived algorithm for estimating the incremental probability of coronary artery disease before and after exercise testing.

Authors:  A P Morise; R Detrano; M Bobbio; G A Diamond
Journal:  J Am Coll Cardiol       Date:  1992-11-01       Impact factor: 24.094
  6 in total

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