Big Data analytics and artificial intelligence in mental healthcare

Rosenfeld, Ariel; Benrimoh, David; Armstrong, Caitrin; Mirchi, Nykan; Langlois-Therrien, Timothe; Rollins, Colleen; Tanguay-Sela, Myriam; Mehltretter, Joseph; Fratila, Robert; Israel, Sonia; Snook, Emily; Perlman, Kelly; Kleinerman‬‏, ‪Akiva; Saab, Bechara J.; Thoburn, Mark; Gabbay, Cheryl; Yaniv-Rosenfeld, Amit

doi:10.1016/b978-0-12-820203-6.00001-1

Cited by 26 publications

(17 citation statements)

References 76 publications

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“…In addition, arts and crafts design has humanistic and artistic characteristics, and the effective combination of big data, AI technology, and VR technology in the age of artificial intelligence can promote the cultivation of public aesthetic consciousness, spread public thinking, and guide them to establish correct mental health concepts. Therefore, under the era of artificial intelligence, arts and crafts design should change its own concept, integrate various technologies and advantages involved in artificial intelligence into the process of arts and crafts design, optimize teaching resources, innovate teaching mode, create a good artistic atmosphere for arts and crafts, guide the public to feel and experience the beauty of art and design, and realize the innovation and reform of art and design teaching in colleges and universities [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis of the Effects of Arts and Crafts in Public Mental Health Education Based on Artificial Intelligence Technology

Liu

2022

Journal of Environmental and Public Health

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Arts and crafts, with their very different styles due to many factors such as times, regions, technologies, and cultures and nationalities, have undergone an extremely long process, and it is only through continuous superimposition, development, and innovation that they have gradually formed the posture of today’s arts and crafts. Public mental health education is the main way to promote the psychological health development of the public in colleges and universities at present. And among them, sound personality and good self-awareness is one of the important standards of psychological health of the large public and one of the important tasks of mental health education. As an effective psychological test and treatment method, arts and crafts analysis are an important part of mental health education. It has a certain role in improving the level of self-awareness and promoting the integration of personality. Art and craft analysis has advantages in mental health and educational group counseling that cannot be replaced by other words and activities, so it can be used in mental health education courses. It can be used in teaching self-awareness. In order to combine the development of arts and crafts with the development concept and promotion ideas of public mental health education, this article proposes an analysis of the role of arts and crafts in public mental health education based on artificial intelligence computing to enhance the development of arts and crafts from a new perspective and seek the inheritance and innovation of arts and crafts and public mental health education in the new historical period, and proves the proposed method in the relevant dataset. The validity of the proposed method is demonstrated in the relevant dataset.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Analysis of the Effects of Arts and Crafts in Public Mental Health Education Based on Artificial Intelligence Technology

Liu

2022

Journal of Environmental and Public Health

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“…HCP-patient relationships are primarily based on trust and empathy, and whilst AI-Health solutions can take over tasks that are more routine and standardised, they cannot reproduce the emotional virtues of which human HCPs are capable (Ngiam and Khor, 2019). Consequently, an over-reliance on the 'quantitative' and objective evidence that fuels clinical algorithms (Cabitza et al, 2017) could discredit other forms of diagnosis and treatment (Rosenfeld et al, 2019)-a prominent concern in the case of clinical psychiatry (Burns, 2015). This could lead to the de-humanisation or impersonalisation of care provision (Juengst et al, 2016), from a service based on listening and theory to one based purely on categorisation (an issue that could again lead to a group LoA harm of group-profiling and associated discrimination by providers including insurers; see section 3.2).…”

Section: An Individual Using Personal Health App Has Limited Oversight Over Whatmentioning

confidence: 99%

The ethics of AI in health care: A mapping review

Morley

Machado

Burr

et al. 2020

Social Science & Medicine

385

173

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This article presents a mapping review of the literature concerning the ethics of artificial intelligence (AI) in health care. The goal of this review is to summarise current debates and identify open questions for future research. Five literature databases were searched to support the following research question: how can the primary ethical risks presented by AI-health be categorised, and what issues must policymakers, regulators and developers consider in order to be 'ethically mindful? A series of screening stages were carried out-for example, removing articles that focused on digital health in general (e.g. data sharing, data access, data privacy, surveillance/nudging, consent, ownership of health data, evidence of efficacy)-yielding a total of 156 papers that were included in the review.We find that ethical issues can be (a) epistemic, related to misguided, inconclusive or inscrutable evidence; (b) normative, related to unfair outcomes and transformative effectives; or (c) related to traceability. We further find that these ethical issues arise at six levels of abstraction: individual, interpersonal, group, institutional, and societal or sectoral. Finally, we outline a number of considerations for policymakers and regulators, mapping these to existing literature, and categorising each as epistemic, normative or traceability-related and at the relevant level of abstraction. Our goal is to inform policymakers, regulators and developers of what they must consider if they are to enable health and care systems to capitalise on the dual advantage of ethical AI; maximising the opportunities to cut costs, improve care, and improve the efficiency of health and care systems, whilst proactively avoiding the potential harms. We argue that if action is not swiftly taken in this regard, a new 'AI winter' could occur due to chilling effects related to a loss of public trust in the benefits of AI for health care.

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“…In order to e ectively treat this disease, arti cial intelligence and big data technology are increasingly used in depression, providing new methods for clinical diagnosis and treatment. Of course, there are not many markers to prove mental health, so that it depends on the questionnaire data of patients and doctors for explanation [3]. Nowadays, microbiology is one of the important disciplines in biology, which includes a wide range of bacteria, viruses, and fungi, and all belong to microorganisms, and it is closely related to human beings [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Traffic Flow Prediction and Application of Smart City Based on Industry 4.0 and Big Data Analysis

Gong¹

2022

Mathematical Problems in Engineering

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For smart city traffic flow prediction in the period of big data and industry 4.0, the prediction accuracy is low, the prediction is difficult, and the prediction effect is different in different geographical locations. This paper proposes a smart city traffic communication forecast based on Industry 4.0 and big data analysis application. Firstly, this paper theoretically explains the application scenario of urban traffic fault text big data and analyzes the characteristics of related problems, especially the fault problems. Secondly, the AC traffic prediction algorithm is studied, and the application analysis of PVHH, IDT, and Ford–Fulkerson algorithms is applied, respectively. Finally, the above three algorithms are used to predict and analyze traffic flow.

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Big Data analytics and artificial intelligence in mental healthcare

Cited by 26 publications

References 76 publications

[Retracted] Analysis of the Effects of Arts and Crafts in Public Mental Health Education Based on Artificial Intelligence Technology

[Retracted] Analysis of the Effects of Arts and Crafts in Public Mental Health Education Based on Artificial Intelligence Technology

The ethics of AI in health care: A mapping review

Traffic Flow Prediction and Application of Smart City Based on Industry 4.0 and Big Data Analysis

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