Optimizing clinical trials recruitment via deep learning.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Nov 1, 2019

Abstract

OBJECTIVE: Clinical trials, prospective research studies on human participants carried out by a distributed team of clinical investigators, play a crucial role in the development of new treatments in health care. This is a complex and expensive process where investigators aim to enroll volunteers with predetermined characteristics, administer treatment(s), and collect safety and efficacy data. Therefore, choosing top-enrolling investigators is essential for efficient clinical trial execution and is 1 of the primary drivers of drug development cost.

Authors

  • Jelena Gligorijevic
    Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA.
  • Djordje Gligorijevic
    Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA.
  • Martin Pavlovski
    Macedonian Academy of Sciences and Arts, Research Center for Computer Science and Information Technologies, Skopje, 1000, Republic of Macedonia.
  • Elizabeth Milkovits
    IQVIA, Plymouth Meeting, Pennsylvania, USA.
  • Lucas Glass
    IQVIA, Plymouth Meeting, Pennsylvania, USA.
  • Kevin Grier
    IQVIA, Plymouth Meeting, Pennsylvania, USA.
  • Praveen Vankireddy
    IQVIA, Plymouth Meeting, Pennsylvania, USA.
  • Zoran Obradovic

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