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Mendeley readers
Chapter title |
A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
|
---|---|
Chapter number | 51 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2017
|
DOI | 10.1007/978-3-319-57454-7_51 |
Book ISBNs |
978-3-31-957453-0, 978-3-31-957454-7
|
Authors |
Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Wessam Abbas, Yonglong Luo, Fulong Chen, Vincent S. Tseng |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 23% |
Student > Master | 4 | 11% |
Lecturer | 3 | 9% |
Student > Bachelor | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 6 | 17% |
Unknown | 9 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 40% |
Engineering | 4 | 11% |
Medicine and Dentistry | 4 | 11% |
Nursing and Health Professions | 1 | 3% |
Unspecified | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 29% |