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Mendeley readers
Chapter title |
Using Machine Learning Models to Predict the Length of Stay in a Hospital Setting
|
---|---|
Chapter number | 21 |
Book title |
Trends and Innovations in Information Systems and Technologies
|
Published by |
Springer, Cham, April 2020
|
DOI | 10.1007/978-3-030-45688-7_21 |
Book ISBNs |
978-3-03-045687-0, 978-3-03-045688-7
|
Authors |
Rachda Naila Mekhaldi, Patrice Caulier, Sondes Chaabane, Abdelahad Chraibi, Sylvain Piechowiak, Mekhaldi, Rachda Naila, Caulier, Patrice, Chaabane, Sondes, Chraibi, Abdelahad, Piechowiak, Sylvain |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 9% |
Student > Master | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Student > Bachelor | 2 | 6% |
Lecturer | 1 | 3% |
Other | 4 | 12% |
Unknown | 18 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 18% |
Economics, Econometrics and Finance | 2 | 6% |
Engineering | 2 | 6% |
Decision Sciences | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 2 | 6% |
Unknown | 18 | 55% |