Application of machine learning in neuroscience

机器学习在神经科学中的应用

• 批准号: 6567-2011
• 负责人: Reilly, James
• 金额: $ 2.04万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=544358
• 关键词: Application; machine; learning; neuroscience

Major depressive disorder (MDD) is a serious mental condition that often completely debilitates a client. MDD is typically treated with one of several currently available antidepressant medications. However, the response rate to any of these medications is only about 30%. Unfortunately, there are currently no means for a priori assessment of whether a specific person will respond to a particular medication. Thus, in prescribing a treatment for MDD, the psychiatrist must by necessity resort to a trial-and-error procedure. This can result in long delays before remission and significant stress on the health care system.

重度抑郁症 (MDD) 是一种严重的精神疾病，通常会使服务对象彻底衰弱。 MDD 通常使用目前可用的几种抗抑郁药物中的一种来治疗。 然而，这些药物的反应率仅为 30% 左右。不幸的是，目前没有方法可以先验评估特定人是否会对特定药物产生反应。因此，在为重度抑郁症开出治疗处方时，精神科医生必须采用试错法。 这可能会导致病情缓解之前的长时间延误，并对医疗保健系统造成巨大压力。