Use Cases

Disease Propensity

uc challenge iconGreyChallenges

Predicting propensity to a specific disease is crucial to taking preventive measures, reducing both the disease spread and costs, and thereby benefiting all involved parties.

uc solution iconGreyOpportunity

LogicPlum can use automated modeling to identify those patients at risk. Thus, institutions can make use of the information already available to improve their marketing strategies and, as a result, their success rates.

uc team iconGreyWhy LogicPlum

By using several data sources, such as demographic and health-related information, LogicPlum can create models that help determine those who have a high propensity to a particular disease.

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