Improved Prediction of Body Mass Index in Real-World Administrative Healthcare Claims Databases.

Journal: Advances in therapy
Published Date:

Abstract

INTRODUCTION: To continue closing the gap between the predictive modeling and its real-world application, we report a new data-to-prediction pipeline that advanced the state-of-the-art predictive performance of body mass index (BMI) classifications by integrating siloed claims databases via a common data model.

Authors

  • Ganhui Lan
    Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Rd, Titusville, NJ, 08560, USA.
  • Bingcao Wu
    Janssen Scientific Affairs, LLC, Titusville, NJ, USA. bwu34@its.jnj.com.
  • Kaustubh Sharma
    Mu Sigma Business Solutions, LLC, Bengaluru, India.
  • Kaushal Gadhia
    Mu Sigma Business Solutions, LLC, Bengaluru, India.
  • Veronica Ashton
    Janssen Scientific Affairs, LLC, 1125 Trenton-Harbourton Rd, Titusville, NJ, 08560, USA.