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A multimodal modeling approach to schizophrenia
Martin Christian Axelsen
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Corresponding author for this work
Cognitive Systems
Department of Applied Mathematics and Computer Science
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Book/Report
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Ph.D. thesis
388
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Dive into the research topics of 'A multimodal modeling approach to schizophrenia'. Together they form a unique fingerprint.
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Mathematics
Modeling Approach
100%
Multimodal Data
100%
Wide Range
25%
Permutation
25%
Training Data
25%
Logistic Regression Model
25%
Synthetic Data
25%
Underdetermined Problem
25%
Objective Measure
25%
Nave Bayes
25%
Statistical Method
25%
Computer Science
Machine Learning
100%
Schizophrenia Patient
66%
Medical Imaging
16%
Data Augmentation
16%
Technological Development
16%
Training Data
16%
Generative Model
16%
Synthetic Data
16%
Imaging Modality
16%
Objective Measure
16%
Healthy Control
16%
Nave Bayes
16%
Logistic Regression Model
16%
Keyphrases
Multimodal Modelling
100%
Single-subject Prediction
25%
Schizophrenia Diagnosis
25%
Multimodal Medical Data
25%
Multimodal Combination
25%
Bayes Model
25%
Neuroscience
Dementia Praecox
100%
Antipsychotic
28%