Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network.

Journal: PloS one
Published Date:

Abstract

INTRODUCTION: The first line of treatment for people with Diabetes mellitus is metformin. However, over the course of the disease metformin may fail to achieve appropriate glycemic control, and a second-line therapy may become necessary. In this paper we introduce Tangle, a time span-guided neural attention model that can accurately and timely predict the upcoming need for a second-line diabetes therapy from administrative data in the Australian adult population. The method is suitable for designing automatic therapy review recommendations for patients and their providers without the need to collect clinical measures.

Authors

  • Samuele Fiorini
    Iren S.p.A, Genoa, Italy.
  • Farshid Hajati
    School of Information Technology and Engineering, MIT Sydney, Sydney, New South Wales, Australia.
  • Annalisa Barla
    DIBRIS, Università degli Studi di Genova, Genova, Italy. annalisa.barla@unige.it.
  • Federico Girosi
    School of Information Technology and Engineering, MIT Sydney, Sydney, New South Wales, Australia.