Machine Learning Predicts Rare Blood Cancer

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1. Study in Journal of Clinical Pathology on predicting PV using CBC parameters.

2. Extreme Gradient Boosting algorithm predicted PV with 94 percent accuracy.

3. 1,484 adults analyzed; 82 had PV.

4. Platelet count was the most influential CBC parameter.

5. EPO levels differed significantly between PV and non-PV groups.

6. Limitations include incomplete data on confounding factors.

7. Further research with larger datasets is recommended.