Worldwide, about 700 million people are estimated to suffer from mental illnesses. In recent years, due to the extensive growth rate in mental disorders, it is essential to better understand the inadequate outcomes from mental health problems. Mental health research is challenging given the perceived limitations of ethical principles such as the protection of autonomy, consent, threat, and damage. In this survey, we aimed to investigate studies where big data approaches were used in mental illness and treatment. Firstly, different types of mental illness, for instance, bipolar disorder, depression, and personality disorders, are discussed. The effects of mental health on user’s behavior such as suicide and drug addiction are highlighted. A description of the methodologies and tools is presented to predict the mental condition of the patient under the supervision of artificial intelligence and machine learning.

中文翻译：

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精神保健中的数据分析

在全球范围内，估计约有 7 亿人患有精神疾病。近年来，由于精神障碍的广泛增长，有必要更好地了解精神健康问题的不充分结果。考虑到伦理原则的局限性，例如保护自主权、同意、威胁和损害，心理健康研究具有挑战性。在本次调查中，我们旨在调查将大数据方法用于精神疾病和治疗的研究。首先，讨论了不同类型的精神疾病，例如双相情感障碍、抑郁症和人格障碍。强调了心理健康对用户行为的影响，如自杀和吸毒成瘾。