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X Demographics
Mendeley readers
Title |
Predicting disease onset from electronic health records for population health management: a scalable and explainable Deep Learning approach
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Published in |
Frontiers in Artificial Intelligence, January 2024
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DOI | 10.3389/frai.2023.1287541 |
Pubmed ID | |
Authors |
Robert Grout, Rishab Gupta, Ruby Bryant, Mawada A. Elmahgoub, Yijie Li, Khushbakht Irfanullah, Rahul F. Patel, Jake Fawkes, Catherine Inness |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 15% |
Researcher | 1 | 8% |
Lecturer | 1 | 8% |
Student > Master | 1 | 8% |
Unknown | 8 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 15% |
Mathematics | 1 | 8% |
Computer Science | 1 | 8% |
Social Sciences | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 0 | 0% |
Unknown | 7 | 54% |