Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach.
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| Title: | Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach. |
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| Authors: | Klopfenstein, Sophie Anne Inès1,2, Flint, Anne Rike1, Heeren, Patrick1,3, Prendke, Mona1, Chaoui, Amin1, Ocker, Thomas3, Chromik, Jonas4, Arnrich, Bert4, Balzer, Felix1,5, Poncette, Akira-Sebastian1,3, akira-sebastian.poncette@charite.de |
| Source: | Journal of Medical Internet Research; 2025, Vol. 27, p1-21, 21p |
| Database: | Applied Science & Technology Source |
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| ISSN: | 14394456 |
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| DOI: | 10.2196/65961 |
