Removal notice to "Artificial intelligence for diabetes case management: The intersection of physical and mental health" [IMU (2019) Article number 100191]

Researchers have identified complex needs of custodial grandparent families and lack of access to needed resources such as housing, financial and legal assistance, and health care. Case management links these families with needed services while helping them develop skills to promote their health and well-being. This paper describes a case management program for custodial grandparent families using a nurse-social worker case management team. data were collected from 50 grandparents and 33 children using surveys and semi-structured instruments. Physical and mental health outcomes were measured using Short Form-12 Health Survey (SF 12) to measure the perceived quality of health for grandparents and the Child Behavior Checklist to measure the emotional and behavioral functioning of grandchildren. Grandparents more positively perceived their mental health after participating in the program. Perceptions about physical health were generally the same before and after the program. Grandparents' reported that many grandchildren had emotional and behavioral problems in the clinical range. These findings highlight the need for further research on the mental health needs of children being parented by grandparents as well as determining effective models and interventions to minimize adverse effects of parenting on grandparents.

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Online mental health education teaching mode and empirical research based on Artificial intelligence

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189384 ◽

2020 ◽

pp. 1-10

Author(s):

Lilingling

Keyword(s):

Mental Health ◽

Artificial Intelligence ◽

Health Education ◽

Psychological Symptoms ◽

Psychological Problems ◽

Mental Health Training ◽

Expert Consultation ◽

Physical And Mental Health ◽

Social Significance ◽

Mental Health Education

With the continuous development of society, work pressure and study pressure are increasingly becoming the key factors affecting people’s physical and mental health, especially for college students, good knowledge and skills as well as superior psychological quality are the important factors for them to become excellent talents. As an important factor affecting people’s psychological quality, mental health has been paid more and more attention by people. The effect of traditional mental health education in daily education activities is not very obvious, which cannot achieve a profound impact on people’s mental health training and development. In this paper, based on the artificial intelligence online technology, an expert system of mental health education and daily consultation is designed. The system mainly integrates four application modules: psychological knowledge learning, psychological daily evaluation, psychological expert consultation and personal personalized management. The experiment shows that the artificial intelligence online expert consultation system designed in this paper can query daily psychological problems conveniently and quickly. At the same time, the treatment of human psychological problems can be realized through the intelligent online psychological counselling and the relief of psychological symptoms. The artificial intelligence online mental health education system has obvious practical value and social significance.

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