[HTML][HTML] The role of machine learning in diagnosing bipolar disorder: scoping review

Z Jan, N Ai-Ansari, O Mousa, A Abd-Alrazaq… - Journal of medical …, 2021 - jmir.org
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 …

[HTML][HTML] Machine learning techniques to predict mental health diagnoses: A systematic literature review

U Madububambachu, A Ukpebor… - Clinical Practice and …, 2024 - pmc.ncbi.nlm.nih.gov
Introduction This study aims to investigate the potential of machine learning in predicting
mental health conditions among college students by analyzing existing literature on mental …

[HTML][HTML] Predicting patient wait times by using highly deidentified data in mental health care: enhanced machine learning approach

A Rastpour, C McGregor - JMIR Mental Health, 2022 - mental.jmir.org
Background: Wait times impact patient satisfaction, treatment effectiveness, and the
efficiency of care that the patients receive. Wait time prediction in mental health is a complex …

[HTML][HTML] An e–Mental Health Resource for COVID-19–Associated Stress Reduction: Mixed Methods Study of Reach, Usability, and User Perceptions

N Minian, A Gayapersad, A Saiva, R Dragonetti… - JMIR Mental …, 2022 - mental.jmir.org
Background: COVID-19 and its public health response are having a profound effect on
people's mental health. To provide support during these times, Canada's largest mental …

Comprehensive investigations of cerebral hemodynamic responses in CSVD patients with mental disorders: a pilot study

D Wen, Y Xu - Frontiers in Psychiatry, 2023 - frontiersin.org
Although a portion of patients with cerebral small vessel disease (CSVD) present mental
disorders, there is currently a lack of appropriate technologies to evaluate brain functions …

Stress-Related Exhaustion, Polygenic Cognitive Potential, and Cognitive Test Performance–A General Population Study

L Ketvel, L Keltikangas-Järvinen, K Pahkala… - Cognitive Therapy and …, 2023 - Springer
Background We investigated whether stress-related exhaustion (chronic or short-term, and
co-occurring with depression or not) is related to cognitive performance and whether …

Machine‐based learning of multidimensional data in bipolar disorder–pilot results

A Birner, M Mairinger, C Elst, A Maget… - Bipolar …, 2024 - Wiley Online Library
Introduction Owing to the heterogenic picture of bipolar disorder, it takes approximately 8.8
years to reach a correct diagnosis. Early recognition and early intervention might not only …

Evaluation of Mental Performance and Cognitive Functions of Children and Adolescents Diagnosed with Radiologically Isolated Syndrome

NO Alıyev, B Kara, AS Güneş, Y Anık, H Efendi… - Multiple Sclerosis and …, 2024 - Elsevier
Background Radiologically isolated syndrome (RIS) is a condition characterized by
asymptomatic, incidentally detected demyelinating plaques in the CNS in a patient without …

[PDF][PDF] A Robust Method of Bipolar Mental Illness Detection from Facial Micro Expressions Using Machine Learning Methods

G Gilanie, S Cheema, A Latif, A Saher… - … Automation & Soft …, 2024 - researchgate.net
Bipolar disorder is a serious mental condition that may be caused by any kind of stress or
emotional upset experienced by the patient. It affects a large percentage of people globally …

An Efficient Online Multiparty Interactive Medical Prediagnosis Scheme with Privacy Protection

Q Zhang, X Zheng, X Wang - Wireless Communications and …, 2021 - Wiley Online Library
Medical prediagnosis systems are now available online to give users quick and preliminary
diagnosis information. The need for such a system has become particularly evident in areas …