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

Saxena, Anshul, Das, Sankalp, Rubens, Muni et al. (2019). Abstract 178: Predicting Employee Health and Cost: Application of Machine Learning on Employee Health Claims Data, Insights, and Possibilities . Circulation. Cardiovascular Quality and Outcomes, 12(Suppl_1), 10.1161/hcq.12.suppl_1.178

cited authors

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

authors

publication date

  • April 1, 2019

published in

keywords

  • 3 Good Health and Well Being
  • 32 Biomedical and Clinical Sciences
  • 3201 Cardiovascular Medicine and Haematology
  • 42 Health Sciences
  • 4206 Public Health
  • Aging
  • Bioengineering
  • Clinical Research
  • Data Science
  • Health Services
  • Machine Learning and Artificial Intelligence
  • Networking and Information Technology R&D (NITRD)

Digital Object Identifier (DOI)

volume

  • 12

issue

  • Suppl_1