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Mendeley readers
Chapter title |
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients
|
---|---|
Chapter number | 68 |
Book title |
Neural Information Processing
|
Published by |
Springer, Cham, December 2019
|
DOI | 10.1007/978-3-030-36808-1_68 |
Book ISBNs |
978-3-03-036807-4, 978-3-03-036808-1
|
Authors |
Simon Kocbek, Primoz Kocbek, Tina Zupanic, Gregor Stiglic, Bogdan Gabrys, Kocbek, Simon, Kocbek, Primoz, Zupanic, Tina, Stiglic, Gregor, Gabrys, Bogdan |
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 > Bachelor | 3 | 27% |
Student > Doctoral Student | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Researcher | 1 | 9% |
Student > Postgraduate | 1 | 9% |
Other | 0 | 0% |
Unknown | 4 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 27% |
Engineering | 2 | 18% |
Biochemistry, Genetics and Molecular Biology | 1 | 9% |
Medicine and Dentistry | 1 | 9% |
Economics, Econometrics and Finance | 1 | 9% |
Other | 0 | 0% |
Unknown | 3 | 27% |