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Unsupervised machine learning models can detect suspicious property and casualty claims just two weeks after they’re filed — far ahead of traditional methods, according to a recent study by CLARA Analytics.
Cohort modeling across claim development periods can effectively identify cost and treatment outliers, the data showed, while mapping connections between providers and attorneys that may indicate fraudulent activity.
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Joe Toppe
Joe Toppe serves as managing editor of PropertyCasualty360.com. Joe is also a father of three, an author, and longtime lover of baseball.
