An Evaluation of Machine Learning Models to Predict Outcomes following Rehabilitation for Traumatic Brain Injury using Uniform Data System for Medical Rehabilitation data
Sign Up to like & getrecommendations! Published in 2021 at "Archives of Physical Medicine and Rehabilitation"
DOI: 10.1016/j.apmr.2021.07.657
Abstract: Research Objectives To determine whether admission characteristics can accurately predict outcomes measured at discharge using machine learning methods for patients with TBI receiving inpatient rehabilitation facility (IRF) care. Secondarily, to determine which models are most… read more here.
Keywords: machine learning; uniform data; rehabilitation; injury ... See more keywords
Using multivariate base rates of low scores to understand early cognitive declines on the uniform data set 3.0 Neuropsychological Battery.
Sign Up to like & getrecommendations! Published in 2020 at "Neuropsychology"
DOI: 10.1037/neu0000640
Abstract: OBJECTIVE Low neuropsychological test scores are commonly observed even in cognitively healthy older adults. For batteries designed to assess for and track cognitive decline in older adults, documenting the multivariate base rates (MBRs) of low… read more here.
Keywords: multivariate base; base rates; low scores; set neuropsychological ... See more keywords