Use Cases

Disease Propensity

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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.

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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.

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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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