计算方法在精神病学中的应用
This book presents a particular area of interest in computing psychiatry with the modelling of mood and anxiety disorders. It highlights various methods for building these models. Clinical applications are prevalent due to the growth and interaction of these multiple approaches. Besides, it outlines some original predictive and computational modelling ideas for enhancing psychological treatment interventions. Computational psychiatry combines multiple levels and types of computation with different data types to improve mental illness understanding, prediction, and treatment.
这本书介绍了计算精神病学中一个特定领域的兴趣,即情绪和焦虑障碍的建模。它强调了构建这些模型的各种方法。由于这些多种方法的增长和互动,临床应用非常普遍。此外,它概述了一些原创的预测性和计算性建模想法,以增强心理治疗干预。 计算精神病学结合了不同类型和级别的计算与不同类型的数据显示,旨在改善精神疾病的理解、预测和治疗。
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