Victor Wasserman
Rowan University
13 Papers
11 Citations
Victor Wasserman is an academic researcher from Rowan University. The author has contributed to research in topics: Medicine & Neurocognitive. The author has an hindex of 4, co-authored 10 publications.
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Papers
Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease
Russell Binaco,Nicholas Calzaretto,Jacob R. Epifano,Sean McGuire,Muhammad Umer,Sheina Emrani,Victor Wasserman,David J. Libon,Robi Polikar +8 more
TL;DR: Applying machine learning to standard neuropsychological tests promises to be an effective first line screening method for classification of non-MCI and MCI subtypes and early identification of emergent neurodegenerative illness is criterial for better disease management.
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Alzheimer's/Vascular Spectrum Dementia: Classification in Addition to Diagnosis.
Sheina Emrani,Melissa Lamar,Catherine C. Price,Victor Wasserman,Emily F Matusz,Rhoda Au,Rodney Swenson,Robert G. Nagele,Kenneth M. Heilman,David J. Libon +9 more
TL;DR: It is proposed that in conjunction with current diagnostic criteria, statistical modeling techniques using neuropsychological test performance should be leveraged to construct a system to classify AD/VaD spectrum dementia in order to test hypotheses regarding how mechanisms related to AD and VaD pathology interact and influence each other.
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Instrumental Activities of Daily Living, Neuropsychiatric Symptoms, and Neuropsychological Impairment in Mild Cognitive Impairment.
Terrie Ginsberg,Leonard Powell,Sheina Emrani,Victor Wasserman,Stephanie Higgins,Anita Chopra,Thomas A. Cavalieri,David J. Libon +7 more
TL;DR: Mildly impaired IADL functioning can negatively affect quality of life and in a primary geriatric care setting, neuropsychiatric symptoms and neuropsychological abilities should be routinely assessed.
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Visual versus Verbal Working Memory in Statistically Determined Patients with Mild Cognitive Impairment: On behalf of the Consortium for Clinical and Epidemiological Neuropsychological Data Analysis (CENDA).
Sheina Emrani,Victor Wasserman,Emily F Matusz,David M. Miller,Melissa Lamar,Catherine C. Price,Terrie Ginsberg,Rhoda Au,Rod Swenson,David J. Libon +9 more
TL;DR: The results suggest that visual WM may be particularly sensitive to emergent illness compared to analogous verbal WM tests, and better WMS-IV Symbol Span performance was associated with higher HO ratios.
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Dissociating Statistically Determined Normal Cognitive Abilities and Mild Cognitive Impairment Subtypes with DCTclock
Emily F Matusz,Catherine C. Price,Melissa Lamar,Rodney Swenson,Rhoda Au,Sheina Emrani,Victor Wasserman,David J. Libon,Louisa I. Thompson +8 more
TL;DR: In this paper , the DCTclock was used to detect differences across groups of patients seen in the memory clinic for suspected dementia, and nine outcome variables included a combined command/copy total score and four command and four copy indices measuring drawing efficiency, simple/complex motor operations, information processing speed, and spatial reasoning.
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