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Where healthcare experts share their views on data science,
analytics, population health management and value-based care.

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Geneia Conversations: Opioid Predictive Model

Data Science

Geneia Conversations: Opioid Predictive Model

Principal lead data scientist Jasmine McCammon discusses her opioid model.

Prioritizing care management resources for the hypertension population

Data Science

Simplify care management with predictive analytics

Prioritizing care management resources for the hypertension population.

Data science is accelerating our learnings from the COVID-19 pandemic.

Data Science

COVID-19 underscores the importance of data and analytics

Data science is accelerating our learnings from the COVID-19 pandemic.

Geneia’s model accurately identified 80 percent of the people

Data Science

Geneia case study: Predicting opioid abuse and overdose

Geneia’s model accurately identified 80 percent of the people

Predictive Analytics World: Using Embeddings in Healthcare

Data Science

Predictive Analytics World: Using Embeddings in Healthcare

Rahmanian discusses low dimensional representation of medical concepts.

Faces of Geneia: Zhipeng Liu’s Diabetes and Obesity Research

Data Science

Faces of Geneia: Zhipeng Liu’s diabetes and obesity research

Liu’s PhD research informs predictive models for chronic disease.

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