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X Demographics
Mendeley readers
Title |
A survey on detecting healthcare concept drift in AI/ML models from a finance perspective
|
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Published in |
Frontiers in Artificial Intelligence, April 2023
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DOI | 10.3389/frai.2022.955314 |
Pubmed ID | |
Authors |
Abdul Razak M S, Nirmala C R, Sreenivasa B R, Husam Lahza, Hassan Fareed M Lahza |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Switzerland | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 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 % |
---|---|---|
Student > Ph. D. Student | 3 | 23% |
Professor > Associate Professor | 1 | 8% |
Researcher | 1 | 8% |
Other | 1 | 8% |
Unknown | 7 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 23% |
Business, Management and Accounting | 1 | 8% |
Decision Sciences | 1 | 8% |
Unknown | 8 | 62% |