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- W4313374000 abstract "Psychiatric illnesses are well known in the research community through scientific findings in the past few decades. The detection and treatment of psychiatric diseases are unsatisfactory despite significant advancements in research. Current methods for diagnosing psychiatric diseases are purely based on physician–patient questionnaires. In most cases, these questionnaires are inaccurate and cannot show reliable symptoms for a particular psychiatric disorder. Everybody recognizes this era as an ‘era of big data’. Nobody is unable to explain how big data are big data. In this digital age, a huge amount of data is generated every second in relation to human behavior, such as body gestures, messages from social media networks, non-human data such as weather, and global positioning system signals. In this chapter, we discuss the applicability of the artificial intelligence technique for recognizing psychiatric disorders. Brief introduction to the datasets and tools available in the literature. Finally, we explore the challenges and limitations of these technologies in future research directions." @default.
- W4313374000 created "2023-01-06" @default.
- W4313374000 creator A5076415143 @default.
- W4313374000 date "2022-01-01" @default.
- W4313374000 modified "2023-10-16" @default.
- W4313374000 title "AI and Big Data for Therapeutic Strategies in Psychiatry" @default.
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- W4313374000 doi "https://doi.org/10.1007/978-3-031-11199-0_9" @default.
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