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X Demographics
Mendeley readers
| Title |
A novel technique for detecting sudden concept drift in healthcare data using multi-linear artificial intelligence techniques
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, August 2022
|
| DOI | 10.3389/frai.2022.950659 |
| Pubmed ID | |
| Authors |
Abdul Razak M. S., C. R. Nirmala, Maha Aljohani, B. R. Sreenivasa |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
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 | 2 | 13% |
| Student > Master | 2 | 13% |
| Researcher | 1 | 7% |
| Professor | 1 | 7% |
| Other | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 6 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 27% |
| Business, Management and Accounting | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 7% |
| Decision Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 40% |