Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification.

ABSTRACT:

Background

Machine learning is a sub-field of artificial intelligence, which utilises large data sets to make predictions for future events. Although most algorithms used in machine learning were developed as far back as the 1950s, the advent of big data in combination with dramatically increased computing power has spurred renewed interest in this technology over the last two decades.

Main body

Within the medical field, machine learning is promising in the development of assistive clinical tools for detection of e.g. cancers and prediction of disease. Recent advances in deep learning technologies, a sub-discipline of machine learning that requires less user input but more data and processing power, has provided even greater promise in assisting physicians to achieve accurat

SUBMITTER: Rauschert S 

PROVIDER: S-EPMC7118917 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature