AI in Mental Health: Predictive Analytics for Early Detection and Intervention in Psychiatric Disorders

@article{1703849,
      author = {Fnu Zartashea},
      title = {AI in Mental Health: Predictive Analytics for Early Detection and Intervention in Psychiatric Disorders},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {4},
      pages = {183-194},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703849.pdf},
      abstract = {Artificial intelligence (AI) technology proves useful to mental healthcare through predictive analytics, which identifies early-stage psychiatric disorders. AI uses machine learning algorithms to examine large volumes of clinical data that reveal recognizable indicators of depression, anxiety, and schizophrenia before professional diagnosis. The timely identification through early detection enables medical professionals to start proper treatments, increasing favorable treatment results and lowering long-term medical expenses. Numerous analytical techniques, such as data mining, natural processing,  and deep learning methods, are used to model mental health disorders and subsequent risk potentials. Incorporating artificial intelligence into psychiatric care systems provides patients with custom-made therapeutic solutions and continuous health checks. This article examines existing AI implementations in psychiatry to demonstrate their effects while discussing obstacles alongside expected developments that will improve healthcare delivery for patients and mental health service operations.},
      keywords = {Artificial Intelligence, Machine Learning, Predictive Analytics, Mental Health, Early Detection, Psychiatric Disorders},
      month = {October},
  }