Data Science in Mental Health
Keywords:
Support Vector Machine(SVM), Artificial Intelligence (AI), Data Analysis(DA), Pre-processing, Feature Extraction, Machine Learning(ML), Multi-Model Analysis .Abstract
Mental diseases are estimated to affect 700 million people worldwide. Due to the rapid increase in mental diseases in recent years, it has become critical to better comprehend the negative consequences of mental health issues. The perceived constraints of ethical norms such as autonomy protection, consent, threat, and injury make mental health research difficult. The goal of this survey was to look for studies that used big data approaches in mental illness and treatment. To begin, numerous sorts of mental disease are discussed, such as bipolar disorder, depression, and personality disorders. Mental health's impact on user behaviour, such as suicide and drug addiction, is highlighted. A discussion of the approaches and tools used to anticipate the patient's mental state using artificial intelligence and machine learning is offered.
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- https://www.discoverdatascience.org/social-good/mental-health/
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