Abstract 178: Predicting Employee Health and Cost: Application of Machine Learning on Employee Health Claims Data, Insights, and Possibilities

Anshul Saxena; Sankalp Das; Muni Rubens; Joseph Salami; Chintan Bhatt; Tian Tian; Peter McGranaghan; Louis Gidel; Emir Veledar

Abstract 178: Predicting Employee Health and Cost: Application of Machine Learning on Employee Health Claims Data, Insights, and Possibilities

Anshul Saxena, Sankalp Das, Muni Rubens, Joseph Salami, Chintan Bhatt, Tian Tian, Peter McGranaghan, Louis Gidel, Emir Veledar

Center for Advanced Analytics

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Circulation: Cardiovascular Quality and Outcomes
Volume	12
State	Published - Jan 1 2020

Cite this

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title = "Abstract 178: Predicting Employee Health and Cost: Application of Machine Learning on Employee Health Claims Data, Insights, and Possibilities",

author = "Anshul Saxena and Sankalp Das and Muni Rubens and Joseph Salami and Chintan Bhatt and Tian Tian and Peter McGranaghan and Louis Gidel and Emir Veledar",

note = "Circulation: Cardiovascular Quality and Outcomes (2020) 12(Suppl 1):A178",

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AU - Saxena, Anshul

AU - Das, Sankalp

AU - Rubens, Muni

AU - Salami, Joseph

AU - Bhatt, Chintan

AU - Tian, Tian

AU - McGranaghan, Peter

AU - Gidel, Louis

AU - Veledar, Emir

N1 - Circulation: Cardiovascular Quality and Outcomes (2020) 12(Suppl 1):A178

PY - 2020/1/1

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UR - https://scholarlycommons.baptisthealth.net/se-all-publications/3518

M3 - Article

VL - 12

JO - Circulation: Cardiovascular Quality and Outcomes

JF - Circulation: Cardiovascular Quality and Outcomes

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Abstract 178: Predicting Employee Health and Cost: Application of Machine Learning on Employee Health Claims Data, Insights, and Possibilities

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