Cargando…
Machine learning‐based classifying of risk‐takers and risk‐aversive individuals using resting‐state EEG data: A pilot feasibility study
BACKGROUND: Decision‐making is vital in interpersonal interactions and a country's economic and political conditions. People, especially managers, have to make decisions in different risky situations. There has been a growing interest in identifying managers’ personality traits (i.e., risk‐taki...
Autores principales: | Eyvazpour, Reza, Navi, Farhad Farkhondeh Tale, Shakeri, Elmira, Nikzad, Behzad, Heysieattalab, Soomaayeh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498077/ https://www.ncbi.nlm.nih.gov/pubmed/37366037 http://dx.doi.org/10.1002/brb3.3139 |
Ejemplares similares
-
Facial Emotion Recognition Predicts Alexithymia Using Machine Learning
por: Farhoumandi, Nima, et al.
Publicado: (2021) -
Are doctors risk takers?
por: Pikkel, Dvora, et al.
Publicado: (2016) -
Knowing Where to Draw the Line: Perceptual Differences between Risk-takers and Non-Risk-Takers
por: Biggs, Adam T., et al.
Publicado: (2014) -
Ecballium elaterium attenuates neuroinflammation in an animal model of Alzheimer’s disease through modulation of nuclear factor κB pathway
por: Heysieattalab, Soomaayeh, et al.
Publicado: (2022) -
Are women using hormonal contraceptives the risk-takers?
por: Tiemeier, Henning
Publicado: (2020)