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Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2002
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Title
Prediction models in the design of neural network based ECG classifiers: A neural network and genetic programming approach
Published in
BMC Medical Informatics and Decision Making, January 2002
DOI 10.1186/1472-6947-2-1
Pubmed ID
Authors

Chris D Nugent, Jesus A Lopez, Ann E Smith, Norman D Black

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 1%
United States 2 1%
Italy 1 <1%
Russia 1 <1%
United Kingdom 1 <1%
Unknown 132 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 11%
Student > Master 15 11%
Student > Ph. D. Student 10 7%
Student > Bachelor 9 6%
Other 9 6%
Other 13 9%
Unknown 68 49%
Readers by discipline Count As %
Computer Science 38 27%
Medicine and Dentistry 7 5%
Agricultural and Biological Sciences 6 4%
Mathematics 5 4%
Engineering 3 2%
Other 10 7%
Unknown 70 50%