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Mendeley readers
Chapter title |
Predicting Cardiovascular Risk Level Based on Biochemical Risk Factor Indicators Using Machine Learning: A Case Study in Indonesia
|
---|---|
Chapter number | 61 |
Book title |
Intelligent Information and Database Systems
|
Published by |
Springer, Cham, April 2019
|
DOI | 10.1007/978-3-030-14802-7_61 |
Book ISBNs |
978-3-03-014801-0, 978-3-03-014802-7
|
Authors |
Yaya Heryadi, Raymond Kosala, Raymond Bahana, Indrajani Suteja, Heryadi, Yaya, Kosala, Raymond, Bahana, Raymond, Suteja, Indrajani |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 36% |
Lecturer | 2 | 18% |
Other | 1 | 9% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 27% |
Computer Science | 2 | 18% |
Business, Management and Accounting | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 4 | 36% |