You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words for Predicting Medical Codes
|
---|---|
Chapter number | 9 |
Book title |
Intelligent Information and Database Systems
|
Published by |
Springer, Cham, March 2020
|
DOI | 10.1007/978-3-030-41964-6_9 |
Book ISBNs |
978-3-03-041963-9, 978-3-03-041964-6
|
Authors |
Vithya Yogarajan, Henry Gouk, Tony Smith, Michael Mayo, Bernhard Pfahringer |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 43% |
Student > Bachelor | 1 | 14% |
Researcher | 1 | 14% |
Professor | 1 | 14% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 57% |
Arts and Humanities | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 1 | 14% |