Stacked random forest model for colorectal cancer detection using complete blood counts
Background In China, adherence to screening colonoscopy among eligible individuals remains suboptimal, primarily due to cost concerns and potential adverse effects. A machine learning model utilizing complete blood count (CBC) data could help prioritize colonoscopy referrals and improve screening pa...
Saved in:
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-07-01
|
| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251362072 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|