Ontology highlight
ABSTRACT:
SUBMITTER: Kang DY
PROVIDER: S-EPMC8484290 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature
Kang Dae Y DY DeYoung Pamela N PN Tantiongloc Justin J Coleman Todd P TP Owens Robert L RL
NPJ digital medicine 20210930 1
Machine learning has the potential to change the practice of medicine, particularly in areas that require pattern recognition (e.g. radiology). Although automated classification is unlikely to be perfect, few modern machine learning tools have the ability to assess their own classification confidence to recognize uncertainty that might need human review. Using automated single-channel sleep staging as a first implementation, we demonstrated that uncertainty information (as quantified using Shann ...[more]