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Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
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| Title |
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), August 2020
|
| DOI | 10.1145/3394486.3403107 |
| Authors |
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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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley demographics
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 21% |
| Student > Master | 16 | 13% |
| Student > Bachelor | 9 | 7% |
| Researcher | 4 | 3% |
| Student > Doctoral Student | 3 | 2% |
| Other | 4 | 3% |
| Unknown | 61 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 38% |
| Engineering | 6 | 5% |
| Business, Management and Accounting | 2 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 4 | 3% |
| Unknown | 60 | 49% |