[HTML][HTML] Prediction of obsessive-compulsive disorder: importance of neurobiology-aided feature design and cross-diagnosis transfer learning
SV Kalmady, AK Paul, JC Narayanaswamy… - Biological Psychiatry …, 2022 - Elsevier
Background Machine learning applications using neuroimaging provide a multidimensional,
data-driven approach that captures the level of complexity necessary for objectively aiding
diagnosis and prognosis in psychiatry. However, models learned from small training
samples often have limited generalizability, which continues to be a problem with automated
diagnosis of mental illnesses such as obsessive-compulsive disorder (OCD). Earlier studies
have shown that features incorporating prior neurobiological knowledge of brain function …
data-driven approach that captures the level of complexity necessary for objectively aiding
diagnosis and prognosis in psychiatry. However, models learned from small training
samples often have limited generalizability, which continues to be a problem with automated
diagnosis of mental illnesses such as obsessive-compulsive disorder (OCD). Earlier studies
have shown that features incorporating prior neurobiological knowledge of brain function …
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