Heart-Rate-Based Machine-Learning Algorithms for Screening Orthostatic Hypotension.
CONCLUSIONS: We have identified clinical parameters that are strongly associated with OH. Machine-learning analysis using those parameters was highly accurate in differentiating OH from non-OH patients. These parameters could be useful screening factors for OH in patients who are unable to perform the HUTT.
PMID: 32657066 [PubMed]
Source: Journal of Clinical Neurology - Category: Neurology Tags: J Clin Neurol Source Type: research
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