Hierarchical Denoising of Ordinal Time Series of Clinical Scores.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 35349462.
- Also identified by DOI 10.1109/JBHI.2022.3163126 and PMC identifier 9354056.
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Abstract
Clinical scores (disease rating scales) are ordinal in nature. Longitudinal studies which use clinical scores produce ordinal time series. These time series tend to be noisy and often have a short-duration. This paper proposes a denoising method for such time series. The method uses a hierarchical approach to draw statistical power from the entire population of a study's patients to give reliable, subject-specific results. The denoising method is applied to MDS-UPDRS motor scores for Parkinson's disease.
Medical subject headings
- Disability Evaluation
- Parkinson Disease