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https://hdl.handle.net/20.500.14356/2570Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ho, Chien-Liang | - |
| dc.date.accessioned | 2024-12-13T06:49:54Z | - |
| dc.date.available | 2024-12-13T06:49:54Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.uri | https://hdl.handle.net/20.500.14356/2570 | - |
| dc.description | Presentation | en_US |
| dc.description.abstract | PROBLEM： NCKUH's online IRB system aims to streamline reviews but faces delays due to frequent revisions, extending initial review process time beyond 10 days. SOLUTION： This study develops the Initial Review Category Determination Artificial Intelligence (IRCD AI), an explainable model for automating case categorization, improving initial review process efficiency, and reducing staff and researcher workload. | en_US |
| dc.publisher | 24th FERCAP International Conference | en_US |
| dc.subject | Using AI for Rapid Classification | en_US |
| dc.subject | Chien-Liang Ho | en_US |
| dc.title | Using AI for Rapid Classification | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | DAY I: Parallel Sessions 2C: use of Technology in Ethics Review and Clinical Research: Chairs: Fung Wei Chang & Bishesh Khanal "Hall-C" 13:30-15:00 (Session 2) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2C-5- Using AI for Rapid Classification.pdf | Full Presentation. | 744.15 kB | Adobe PDF |  View/Open |
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