ANALYSIS OF MENTAL HEALTH RESEARCH
DOI:
https://doi.org/10.36074/grail-of-science.16.02.2024.037Keywords:
health research, mental health, natural language processing, machine learning method, artificial intelligenceSummary
In 2022 there are more than 150 million people only in Europe who have mental health problems. The availability of services for population has decreased, deteriorating economic conditions, stress, military conflict make our mental health vulnerable. At the same time, the use of artificial intelligence (AI) makes possible revolutionary breakthroughs in healthcare and medicine. AI technologies are being considered as a new tool for planning, monitoring and identifying health services at level of populations and individuals. AI-powered tools could be used like digitized healthcare data, including electronic records, images and handwritten notes, to automate tasks, make clinicians' jobs easier, and understand the causes of complex diseases. At the same time, the use of AI-based solutions often involves the use of complex statistical and mathematical tools and multi-dimensional data, which raises the possibility of errors and misinterpretation of results: researchers sometimes tend to overtrust AI. There is also concern about the lack of open reporting of the use of AI models, which limits the ability to replicate results. The study showed that data and models used are most often not publicly available, and there is little collaboration between researchers.
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Copyright (c) 2024 Nadiia Babkova , Dina Huliieva , Zoia Kochuieva , Nataliia Ugolnikova
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