Machine learning for mental health and psychiatry research has emerged as a powerful set of tools for harnessing increased computing power to analyze relationships in massive and complex datasets. These findings are ultimately poised to help inform research directions, the diagnosis and prediction of ...
The use of machine learning (ML) in mental health (MH) research is increasing, especially as new, more complex data types become available to analyze. By examining the published literature, this review aims to explore the current applications of ML in MH research, with a particular focus on ...
Mental health and Machine Learning Global Reach Collaborating with researchers in Mexico and Harvard University on a large-scale randomised controlled trial in Latin America to evaluate our culturally-adapted Spanish digital CBT program for depression and anxiety in university students. A key objective of...
The review emphasizes the clinician's role in ensuring equitable and effective patient care and seeks to inform mental health providers about the importance of clinician involvement in these technologies.#ML in psychiatry has advanced through electronic health record integration, disease phenotyping, and ...
The timely identification of patients who are at risk of a mental health crisis can lead to improved outcomes and to the mitigation of burdens and costs. However, the high prevalence of mental health problems means that the manual review of complex patie
Argumentation Theory for Decision Support in Health-Care: a comparison with Machine Learning Summary: This study investigates role of defeasible reasoning and argumentation theory for decision-support in the health-care sector. The main objective is to support clinicians with a tool for taking ...
We continue to actively explore the healthcare and AI space, with other projects within Microsoft Health Futures (opens in new tab). One in four of us, at some point in our lives, will be affected by a mental health condition. Good mental health and well-being are fundamental to our ...
machine learningInternet Gaming Disorder (IGD), as one of worldwide mental health issues, leads to negative effects on physical and mental health and has... Q Wang,Y Li,H Su,... - 《Biomedical Engineering》 被引量: 0发表: 2023年 An AI-based Decision Support System for Predicting Mental...
7 The rapid growth of machine learning techniques within the artificial intelligence (AI) field (panel 1) has stirred hope that algorithms might be capable of overcoming the trial-and-error-driven status quo in mental health care by supporting precise diagnoses, prognoses, and therapeutic choices....
Spectruth also emphasizes community involvement, allowing token holders to participate in governance decisions and share in the intellectual property generated through our projects. Together, we aim to redefine mental health care, break down barriers to access, and foster resilience among those we serve...