A Machine Learning Approach to Identify NIH-Funded Applied Prevention Research.

ABSTRACT:

Introduction

To fulfill its mission, the NIH Office of Disease Prevention systematically monitors NIH investments in applied prevention research. Specifically, the Office focuses on research in humans involving primary and secondary prevention, and prevention-related methods. Currently, the NIH uses the Research, Condition, and Disease Categorization system to report agency funding in prevention research. However, this system defines prevention research broadly to include primary and secondary prevention, studies on prevention methods, and basic and preclinical studies for prevention. A new methodology was needed to quantify NIH funding in applied prevention research.

Methods

A novel machine learning approach was developed and evaluated for its ability to characterize NIH-fu

SUBMITTER: Villani J 

PROVIDER: S-EPMC6251715 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature