Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher +4 more
wiley +1 more source
A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models. [PDF]
Kaneko H.
europepmc +1 more source
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Wei Liu +5 more
wiley +1 more source
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Murali E +4 more
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A hybrid SMOTE and Gaussian mixture model based optimized XGBoost framework for bipolar disorder detection. [PDF]
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Clustering ensemble method integrating Gaussian mixture model and three-way decision (GMM-3WD-CE). [PDF]
Ma Y, Li Z.
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A Low-Parameter Adaptive Framework Based on Gaussian Mixture Modeling for Detecting Weak Astrocytic Calcium Signals in Two-Photon Imaging. [PDF]
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