Biography and Research Information
OverviewAI-generated summary
Masha Berman's research focuses on cognitive assessment and the reliability of digital tools for monitoring neuropsychological performance. Her work has investigated embedded measures within neurocognitive disorder evaluations and the potential of smartphone applications for self-monitoring. Berman has published on the reliability of a specific app named Roberto, designed for neuropsychological performance self-monitoring. She has collaborated with researchers at the University of Arkansas for Medical Sciences, including Lee Isaac, Jennifer Sue Kleiner, Jennifer L. Gess, and Chrystal Fullen, with whom she shares co-authored publications. Her recent activity indicates ongoing engagement in her research areas.
Metrics
- h-index: 1
- Publications: 4
- Citations: 3
Selected Publications
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60 Are all Embedded Measures Created Equal? A look at Embedded PVTs in Major Neurocognitive Disorder (2023)
Collaboration Network
Top Collaborators
- 60 Are all Embedded Measures Created Equal? A look at Embedded PVTs in Major Neurocognitive Disorder
- 60 Are all Embedded Measures Created Equal? A look at Embedded PVTs in Major Neurocognitive Disorder
- 60 Are all Embedded Measures Created Equal? A look at Embedded PVTs in Major Neurocognitive Disorder
- 60 Are all Embedded Measures Created Equal? A look at Embedded PVTs in Major Neurocognitive Disorder
- 60 Are all Embedded Measures Created Equal? A look at Embedded PVTs in Major Neurocognitive Disorder
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