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What is Random Forest Model about?

This research article presents a study that estimates biological age from blood test results using a random forest model, analyzing data from 11,554 individuals aged 0-95. The model achieved a high accuracy (R² = 0.7010) with 71 data items, and demonstrated that fewer data items could still yield acceptable accuracy, particularly noting differences in estimated ages between postmenopausal and premenopausal women. The findings suggest that blood age could serve as a valuable indicator for assessing health an

Author

abrham.tesfaye

Language

EN