Using machine learning to identify individuals at elevated risk of diabetes from low-cost complete blood count data for opportunistic screening
This cohort/real-world study was triaged for T2 - CBC/ML Hematology based on abstract review. It appears standard priority because it addresses a direct clinical or diagnostic question with moderate evidence maturity.
This cohort/real-world study was triaged for T2 - CBC/ML Hematology based on abstract review. It appears standard priority because it addresses a direct clinical or diagnostic question with moderate evidence maturity.
What the study was
- Study design
- Cohort/real-world study
- Sample size
- 725
- Maturity
- Validated
- Journal
- Scientific reports
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