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Mendeley readers
Chapter title |
Deep Learning to Predict Patient Future Diseases from the Electronic Health Records
|
---|---|
Chapter number | 66 |
Book title |
Advances in Information Retrieval
|
Published in |
Lecture notes in computer science, March 2016
|
DOI | 10.1007/978-3-319-30671-1_66 |
Book ISBNs |
978-3-31-930670-4, 978-3-31-930671-1
|
Authors |
Riccardo Miotto, Li Li, Joel T. Dudley |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 25% |
Student > Master | 11 | 19% |
Student > Bachelor | 5 | 9% |
Researcher | 4 | 7% |
Student > Doctoral Student | 3 | 5% |
Other | 7 | 12% |
Unknown | 13 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 42% |
Engineering | 7 | 12% |
Medicine and Dentistry | 4 | 7% |
Mathematics | 3 | 5% |
Business, Management and Accounting | 2 | 4% |
Other | 2 | 4% |
Unknown | 15 | 26% |