[HTML][HTML] Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Mental health is a basic need for a sustainable and developing society. The prevalence and
financial burden of mental illness have increased globally, and especially in response to …
financial burden of mental illness have increased globally, and especially in response to …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
From promise to practice: towards the realisation of AI-informed mental health care
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …
based precision medicine tools in mental health care from clinical, ethical, and regulatory …
Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
Artificial intelligence and machine learning in pathology: the present landscape of supervised methods
HH Rashidi, NK Tran, EV Betts… - Academic …, 2019 - journals.sagepub.com
Increased interest in the opportunities provided by artificial intelligence and machine
learning has spawned a new field of health-care research. The new tools under …
learning has spawned a new field of health-care research. The new tools under …
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 …
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
Diagnosing of disease using machine learning
The role of machine learning in the healthcare industry is inevitable due to its power to use
in disease detection and management. Disease diagnosis using machine-learning …
in disease detection and management. Disease diagnosis using machine-learning …
Stress detection using natural language processing and machine learning over social interactions
T Nijhawan, G Attigeri, T Ananthakrishna - Journal of Big Data, 2022 - Springer
Cyberspace is a vast soapbox for people to post anything that they witness in their day-to-
day lives. Social media content is mostly used for review, opinion, influence, or sentiment …
day lives. Social media content is mostly used for review, opinion, influence, or sentiment …
Machine learning algorithms for depression: diagnosis, insights, and research directions
Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense
psychological effects on people's minds worldwide. The global technological development …
psychological effects on people's minds worldwide. The global technological development …