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Age estimation from the immature pars lateralis using decision tree analysis

Deona Botha1, Erin F Hutchinson2, Roxanne Thornton3

  • 1Human Variation and Identification Research Unit, Department of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, South Africa. deona.botha@wits.ac.za.

International Journal of Legal Medicine
|April 10, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
Fetal osteologydecision treesmachine learningpars lateralisskeletal age

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
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