[HTML][HTML] A review of machine learning and deep learning approaches on mental health diagnosis
Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine�…
As a result of the necessity for finding effective ways to battle these problems, machine�…
[HTML][HTML] Application of artificial intelligence on psychological interventions and diagnosis: an overview
S Zhou, J Zhao, L Zhang�- Frontiers in Psychiatry, 2022 - frontiersin.org
Background Innovative technologies, such as machine learning, big data, and artificial
intelligence (AI) are approaches adopted for personalized medicine, and psychological�…
intelligence (AI) are approaches adopted for personalized medicine, and psychological�…
Prevalence and diagnosis of neurological disorders using different deep learning techniques: a meta-analysis
This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke�…
prognosis of eight different neuropsychiatric and neurological disorders such as stroke�…
An insight into diagnosis of depression using machine learning techniques: a systematic review
Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are�…
from which millions of individuals are affected today. The symptoms of depression are�…
Mental health prediction using machine learning: taxonomy, applications, and challenges
J Chung, J Teo�- Applied Computational Intelligence and Soft�…, 2022 - Wiley Online Library
The increase of mental health problems and the need for effective medical health care have
led to an investigation of machine learning that can be applied in mental health problems�…
led to an investigation of machine learning that can be applied in mental health problems�…
[HTML][HTML] The role of machine learning in diagnosing bipolar disorder: scoping review
Background Bipolar disorder (BD) is the 10th most common cause of frailty in young
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life�…
individuals and has triggered morbidity and mortality worldwide. Patients with BD have a life�…
[HTML][HTML] The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
Artificial intelligence (AI) has been successfully exploited in diagnosing many mental
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI�…
disorders. Numerous systematic reviews summarize the evidence on the accuracy of AI�…
[HTML][HTML] Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning�…
systems. Artificial intelligence techniques ranging from machine learning to deep learning�…
Predictive analysis of mental health conditions using AdaBoost algorithm
EO Ogunseye, CA Adenusi, AC Nwanakwaugwu…�- …, 2022 - journals.itiud.org
The presented research responds to increased mental illness conditions worldwide and the
need for efficient mental health care (MHC) through machine learning (ML) implementations�…
need for efficient mental health care (MHC) through machine learning (ML) implementations�…
Artificial intelligence in psychiatry research, diagnosis, and therapy
J Sun, QX Dong, SW Wang, YB Zheng, XX Liu…�- Asian Journal of�…, 2023 - Elsevier
Psychiatric disorders are now responsible for the largest proportion of the global burden of
disease, and even more challenges have been seen during the COVID-19 pandemic�…
disease, and even more challenges have been seen during the COVID-19 pandemic�…