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X Demographics
Mendeley readers
Chapter title |
Overview and Comparison of Machine Learning Methods to Build Classification Model for Prediction of Categorical Outcome Based on Medical Data
|
---|---|
Chapter number | 20 |
Book title |
Cybernetics Approaches in Intelligent Systems
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Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-67618-0_20 |
Book ISBNs |
978-3-31-967617-3, 978-3-31-967618-0
|
Authors |
Andrea Peterkova, German Michalconok, Allan Bohm |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 33% |
Spain | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 25% |
Librarian | 1 | 25% |
Unknown | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 1 | 25% |
Engineering | 1 | 25% |
Unknown | 2 | 50% |