Midori Sugaya

Machine Learning-Based Alexithymia Assessment Using Resting-State Default Mode Network Functional Connectivity

Kei Suzuki, Midori Sugaya

Alexithymia is regarded as one of the risk factors for several prevalent mental disorders, and there is a growing need for convenient and objective methods to assess alexithymia. Therefore, this study proposes a method for constructing models to assess alexithymia using machine l…Read more