Steven Gilmore

College of Sciences

Works (2)

Updated: July 5th, 2023 14:22

2021 journal article

Classification of orthostatic intolerance through data analytics

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 59(3), 621–632.

By: S. Gilmore n, J. Hart *, J. Geddes n, C. Olsen*, J. Mehlsen *, P. Gremaud n, M. Olufsen n

author keywords: Orthostatic intolerance; Syncope; Classification; Clustering; Machine learning
MeSH headings : Autonomic Nervous System; Blood Pressure; Data Science; Heart Rate; Humans; Orthostatic Intolerance / diagnosis; Syncope / diagnosis; Tilt-Table Test
TL;DR: This study uses machine learning to categorize patients with orthostatic intolerance and shows that machine learning can provide accurate classification of disease groups for 98% of patients and two subgroups within the control patients differentiated by their BP response. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: March 8, 2021

2021 journal article

SBV regularity for Burgers-Poisson equation

JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 500(1).

By: S. Gilmore n & K. Nguyen  n

author keywords: Burgers-Poisson equation; Entropy weak solution; SBV regularity
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 19, 2021

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