Abstract
Mental health is a major healthcare issue around the world, and it must be made a priority in the healthcare sector. That being said, it seems that progress in this area is moving at a slow rate. These conditions aren't always difficult to live with, but they also put you at risk for heart failure, severe anxiety, and depression, leading to serious stress and physical disability. In middle and upper nations, a majority of people deal with at least one of these psychiatric disorders at a certain stage in their lives. Artificial intelligence techniques have recently received a lot of attention in a variety of areas, including psychological health. A personalized therapy that aims to deliver emotional support to a particular person has to be enabled with the help of specialized artificial intelligence methods and ML algorithms. The aim of this chapter is to evaluate and create a system that assists a person in predicting and curing his or her psychiatric disorder using various artificial intelligence concepts and strategies, thus assisting people in curing their problems.
TopBackground
The researchers studied and understood a variety of papers and reviews to assess the role of a machine learning in the diagnosis of mental illness in individuals of various ages. Many studies have focused to diagnose mental disease among the younger generation. Various methods and strategies for evaluating and conducting machine learning are depicted in other studies and publications.
The researchers have summarized the research in the Table 1, 2 & 3 given below.
Table 1.
Summary of Literature survey
| Citation | (Khattar et al., 2020) | (Avasthi et al., 2013) | (Resom et al., 2019) |
| Inference | To detect mental condition of young Indian students in the pandemic a survey was conducted, and the collected data was visualized, and it was found out that 42.9% of them were feeling frustrated, anxious, depressed, bored and overworked. | Yoga and Meditation are useful in Psychotherapy. | Different
algorithms used for the depression detection
and generation of
Questionnaire. |
| Methods | Apriori algorithm was used to find association rules. | Yoga & Meditation to help reduce stress and anxiety. | Using features like Text-based, audio, social media and detection can be conducted. |
Summary of Literature Survey
| Citation | (Khan et al., 2018) | (Mody & Mody, 2019) |
| Inference | Cross-validation performance of the algorithms & data mining for mental healthcare. | By reviewing algorithms and thresholds, we will develop different mental health programs, such as interactive counselling and diagnostic systems. |
| Methods | Planning & Background
Analysis, Data acquisition, Data pre-processing and implementation of data mining | Combination of above-mentioned system and personalized mental care methods. |
Key Terms in this Chapter
Cognitive Health: The ability to think correctly, read, and recall is referred to as cognitive health. Cognitive health is a vital aspect of carrying out daily tasks.
Mental Health: A level of well-being in which a person knows his own ability, is able to meet regular life pressures, work productively and successfully and contribute to his/her society.
Machine Learning: Machine learning is a data processing tool that automates the construction of analytical models. It is an artificial intelligence division that assumes that systems should learn from their input, recognize trends, and determine with little human interference.
Artificial Intelligence: Artificial intelligence (AI) refers to computerised artificial intelligence models designed for thought and emulation of human behaviour. The word may also apply to any computer that has characteristics similar to a human mind, such as problem solving and knowledge.
Sentiment Analysis: Sentiment analysis is the systematic discovery, retrieval, quantification, and investigation of affective states and subjective information using natural language processing, text recognition, computational linguistics, and biometrics.
Cognitive Behavioral Therapy: Cognitive behavioural therapy (CBT) is a type of psychotherapeutic counselling that teaches people how to understand and change harmful or disturbing thought patterns that influence their attitudes and emotions.