Discrimination between healthy participants and people with panic disorder based on polygenic scores for psychiatric disorders and for intermediate phenotypes using machine learning

CONCLUSIONS: These findings suggest that increasing the number of polygenic score combinations up to approximately 10 effectively improved the discrimination accuracy and that support vector machine exhibited greater accuracy among classifiers. However, the discrimination accuracy for panic disorder, when based solely on polygenic score combinations, was found to be modest.PMID:38581251 | DOI:10.1177/00048674241242936

Source: The Australian and New Zealand Journal of Psychiatry - April 6, 2024 Category: Psychiatry Authors: Kazutaka Ohi Yuta Tanaka Takeshi Otowa Mihoko Shimada Hisanobu Kaiya Fumichika Nishimura Tsukasa Sasaki Hisashi Tanii Toshiki Shioiri Takeshi Hara Source Type: research