Decsision tree application to improve success rate.
Algorithm Could Turbocharge Solving Cold Cases with DNA
Popular Mechanics, Caroline Delbert
November 4, 2022
Researchers from Stanford University, forensic genealogy company Identifinders, and the non-profit DNA Doe Project developed a new mathematical model for solving crimes using DNA. The researchers explained their algorithm improves the current forensic genetic genealogy process 10-fold by optimizing candidate searches via a decision tree. They said the algorithm "can solve a case with a 7,500-person family tree around 94% of the time," while the current technique only yields a 4% success rate. Stanford's Lawrence Wein said unlike the benchmark method of searching for common ancestors between different matches, the new strategy seeks "the most recent common ancestor between a match and the unknown target." ... '
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