Ontology highlight
ABSTRACT:
SUBMITTER: Marks M
PROVIDER: S-EPMC6195542 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Marks Michael M Kingsbury Trevor T Bryant Richard R Collins John David JD Wyatt Marilynn M
Scientific reports 20181019 1
Accurately measuring a subject's abnormality using high dimensional data can empower better outcomes research. Utilizing applications in instrumented gait analysis, this article demonstrates how using data that is inherently non-independent to measure overall abnormality may bias results. A methodology is then introduced to address this bias and accurately measure abnormality in high dimensional spaces. While this methodology is in line with previous literature, it differs in two major ways. Adv ...[more]