Published in

F1000Research, F1000Research, (6), p. 2012, 2018

DOI: 10.12688/f1000research.13016.2

F1000Research, F1000Research, (6), p. 2012

DOI: 10.12688/f1000research.13016.1

Links

Tools

Export citation

Search in Google Scholar

The rise and fall of machine learning methods in biomedical research

Journal article published in 2017 by Hashem Koohy ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Red circle
Preprint: archiving forbidden
Red circle
Postprint: archiving forbidden
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

In the era of explosion in biological data, machine learning techniques are becoming more popular in life sciences, including biology and medicine. This research note examines the rise and fall of the most commonly used machine learning techniques in life sciences over the past three decades.