Robin Vlieger
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Explore the profile of Robin Vlieger including associated specialties, affiliations and a list of published articles.
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8
Citations
9
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Recent Articles
1.
Hettiarachchi C, Vlieger R, Ge W, Apthorp D, Daskalaki E, Brustle A, et al.
Stud Health Technol Inform
. 2024 Sep;
318:138-143.
PMID: 39320195
Wearable sensors, among other informatics solutions, are readily accessible to enable noninvasive remote monitoring in healthcare. While providing a wealth of data, the wide variety of such sensing systems and...
2.
Vlieger R, Austin D, Apthorp D, Daskalaki E, Lensky A, Walton-Sonda D, et al.
Brain Res
. 2024 Feb;
1832:148827.
PMID: 38403040
A biomarker of cognition in Multiple Sclerosis (MS) that is independent from the response of people with MS (PwMS) to test questions would provide a more holistic assessment of cognitive...
3.
Vlieger R, Daskalaki E, Apthorp D, Lueck C, Suominen H
Stud Health Technol Inform
. 2024 Jan;
310:1480-1481.
PMID: 38269706
Resting-state electroencephalography pre-processing methods in machine learning studies into Parkinson's disease classification vary widely. Here three separate data sets were pre-processed to four different stages to investigate the effects on...
4.
Lensky A, Lueck C, Suominen H, Jones B, Vlieger R, Ahluwalia T
J Stroke Cerebrovasc Dis
. 2023 Dec;
33(2):107514.
PMID: 38104492
Introduction: Accurate prediction of outcome destination at an early stage would help manage patients presenting with stroke. This study assessed the predictive ability of three machine learning (ML) algorithms to...
5.
Vlieger R, Suominen H, Apthorp D, Lueck C, Daskalaki E
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-5.
PMID: 38082678
Collecting resting-state electroencephalography (RSEEG) data is time-consuming and data sets are therefore often small. Because many machine learning (ML) algorithms work better with ample data, researchers looking to use RSEEG...
6.
Rai B, van Kleef J, Sabeti F, Vlieger R, Suominen H, Maddess T
Surv Ophthalmol
. 2023 Oct;
69(1):24-33.
PMID: 37797701
It is now clear that retinal neuropathy precedes classical microvascular retinopathy in diabetes. Therefore, tests that underpin useful new endpoints must provide high diagnostic power well before the onset of...
7.
Vlieger R, Daskalaki E, Apthorp D, Lueck C, Suominen H
Stud Health Technol Inform
. 2021 Dec;
284:333-335.
PMID: 34920540
Current tests of disease status in Parkinson's disease suffer from high variability, limiting their ability to determine disease severity and prognosis. Event-related potentials, in conjunction with machine learning, may provide...
8.
Apthorp D, Smith A, Ilschner S, Vlieger R, Das C, Lueck C, et al.
BMJ Neurol Open
. 2021 Mar;
2(2):e000086.
PMID: 33681803
Background: The severity of Parkinson's disease (PD) is difficult to assess objectively owing to the lack of a robust biological marker of underlying disease status, with consequent implications for diagnosis,...