Artificial intelligence, machine learning, and deep learning for clinical outcome prediction.

ABSTRACT: AI is a broad concept, grouping initiatives that use a computer to perform tasks that would usually require a human to complete. AI methods are well suited to predict clinical outcomes. In practice, AI methods can be thought of as functions that learn the outcomes accompanying standardized input data to produce accurate outcome predictions when trialed with new data. Current methods for cleaning, creating, accessing, extracting, augmenting, and representing data for training AI clinical prediction models are well defined. The use of AI to predict clinical outcomes is a dynamic and rapidly evolving arena, with new methods and applications emerging. Extraction or accession of electronic health care records and combining these with patient genetic data is an area of present attention, with tr

SUBMITTER: Pettit RW 

PROVIDER: S-EPMC8786279 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature