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Mendeley readers
Chapter title |
Real-Time Decision Support Using Data Mining to Predict Blood Pressure Critical Events in Intensive Medicine Patients
|
---|---|
Chapter number | 8 |
Book title |
Ambient Intelligence for Health
|
Published by |
Springer, Cham, December 2015
|
DOI | 10.1007/978-3-319-26508-7_8 |
Book ISBNs |
978-3-31-926507-0, 978-3-31-926508-7
|
Authors |
Filipe Portela, Manuel Filipe Santos, José Machado, António Abelha, Fernando Rua, Álvaro Silva, Portela, Filipe, Santos, Manuel Filipe, Machado, José, Abelha, António, Rua, Fernando, Silva, Álvaro |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 27% |
Student > Master | 3 | 20% |
Student > Postgraduate | 2 | 13% |
Student > Bachelor | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 2 | 13% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 5 | 33% |
Computer Science | 5 | 33% |
Mathematics | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Unknown | 3 | 20% |