A Machine-Learning-Based Drug Repurposing Approach Using Baseline Regularization.

Published

Book Section

We present the baseline regularization model for computational drug repurposing using electronic health records (EHRs). In EHRs, drug prescriptions of various drugs are recorded throughout time for various patients. In the same time, numeric physical measurements (e.g., fasting blood glucose level) are also recorded. Baseline regularization uses statistical relationships between the occurrences of prescriptions of some particular drugs and the increase or the decrease in the values of some particular numeric physical measurements to identify potential repurposing opportunities.

Full Text

Duke Authors

Cited Authors

  • Kuang, Z; Bao, Y; Thomson, J; Caldwell, M; Peissig, P; Stewart, R; Willett, R; Page, D

Published Date

  • 2019

Volume / Issue

  • 1903 /

Start / End Page

  • 255 - 267

PubMed ID

  • 30547447

Pubmed Central ID

  • 30547447

Digital Object Identifier (DOI)

  • 10.1007/978-1-4939-8955-3_15