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Browsing by Author "Yang, Fan"

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    Artificial Intelligence in Health Care: Bibliometric Analysis
    (JMIR Publications, 2020) Guo, Yuqi; Hao, Zhichao; Zhao, Shichong; Gong, Jiaqi; Yang, Fan; University of North Carolina; University of North Carolina Charlotte; University of Alabama Tuscaloosa; Dongbei University of Finance & Economics; University of Maryland Baltimore
    Background: As a critical driving power to promote health care, the health care-related artificial intelligence (AI) literature is growing rapidly. Objective: The purpose of this analysis is to provide a dynamic and longitudinal bibliometric analysis of health care-related AI publications. Methods: The Web of Science (Clarivate PLC) was searched to retrieve all existing and highly cited AI-related health care research papers published in English up to December 2019. Based on bibliometric indicators, a search strategy was developed to screen the title for eligibility, using the abstract and full text where needed. The growth rate of publications, characteristics of research activities, publication patterns, and research hotspot tendencies were computed using the HistCite software. Results: The search identified 5235 hits, of which 1473 publications were included in the analyses. Publication output increased an average of 17.02% per year since 1995, but the growth rate of research papers significantly increased to 45.15% from 2014 to 2019. The major health problems studied in AI research are cancer, depression, Alzheimer disease, heart failure, and diabetes. Artificial neural networks, support vector machines, and convolutional neural networks have the highest impact on health care. Nucleosides, convolutional neural networks, and tumor markers have remained research hotspots through 2019. Conclusions: This analysis provides a comprehensive overview of the AI-related research conducted in the field of health care, which helps researchers, policy makers, and practitioners better understand the development of health care-related AI research and possible practice implications. Future AI research should be dedicated to filling in the gaps between AI health care research and clinical applications.
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    Existing Mobile Phone Apps for Self-Care Management of People With Alzheimer Disease and Related Dementias: Systematic Analysis
    (JMIR, 2020) Guo, Yuqi; Yang, Fan; Hu, Fei; Li, Wei; Ruggiano, Nicole; Lee, Hee Yun; University of North Carolina; University of North Carolina Charlotte; Dongbei University of Finance & Economics; University of Alabama Tuscaloosa; University of Alabama Birmingham
    Background: Alzheimer disease and related dementias (AD/RD) are progressive neurocognitive disorders that currently affect approximately 50 million people worldwide. Mobile phone apps have been well-integrated into daily lives and can be used to deliver and promote health care. There is an increase in the use of technology to provide care and support to AD/RD patients and their families. Objective: This study aimed to review apps designed for AD/RD patients and analyze the benefits of, and challenges to, such technological solutions. Methods: A systematic approach was applied to review the availability, content, features, and quality of mobile phone apps to support self-care among AD/RD patients. Results: The initial search for this review was conducted in January 2019, and the screening and analysis of the included apps were completed in May 2019. A total of 14 apps were included from an initial search of 245 apps. The top 3 features were alert (9/14, 64%), self-care tips (6/14, 42%), and social networking capacity (5/14, 35%). On average, the readability of the apps was a tenth-grade reading level (SD 3.06). The overall quality was 3.71 out of 5 (SD 1.37). Conclusions: Our findings suggest that currently available apps for AD/RD patients may not meet complex needs and may be challenging to use, given the possible impaired communication ability associated with AD/RD. Therefore, high-quality apps need to be developed and rigorously evaluated for feasibility and efficacy.
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    Existing Mobile Phone Apps for Self-Care Management of People With Alzheimer Disease and Related Dementias: Systematic Analysis (May, 2020)
    (JMIR, 2020) Guo, Yuqi; Yang, Fan; Hu, Fei; Li, Wei; Ruggiano, Nicole; Lee, Hee Yun; University of North Carolina; University of North Carolina Charlotte; Dongbei University of Finance & Economics; University of Alabama Tuscaloosa; University of Alabama Birmingham
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    Immigration status, peer victimization, and negative emotions as they relate to bullying behavior among school-aged children
    (University of Alabama Libraries, 2018) Yang, Fan; Hopson, Laura M.; University of Alabama Tuscaloosa
    Bullying encompasses aggressive behaviors in a situation where an individual experiences negative actions from one or more individuals repeatedly and over time in the forms of emotional, verbal, physical, race-based, and cyber aggressiveness. Anti-bullying research and interventions ensure healthy school climate for students as well as promote individual development and academic success. The current dissertation study investigated bullying perpetration and its association with risk factors identified by general strain theory (GST): limited financial resource, parental rejection, peer victimization, chronic disease, and negative school experience. The mediating role of negative emotions identified by GST was also tested in this study. In addition, guided by minority stress theory, this study investigated whether a student’s immigration status affected the relationship between risk factors and bullying perpetration. Using the Health Behavior in School-Aged Children (HBSC) study 2009-2010 cycle, four groups of weighted least squared linear regression models were conducted to examine hypothesized relationships. Study results indicated that bullying was associated with negative emotions, peer victimization, immigration status, being Hispanic, negative school experience, the interaction between immigration status and peer victimization, and the interaction between immigration status and negative emotions. The mediating role of negative emotions was not supported by this study. The association between negative emotions, peer victimization, and bullying perpetration varied across different immigrant status groups. It was concluded that, generalizing from this nationally representative sample, bullying among immigrant children was clearly a rich and complex problem that merited further study. The implications for cultural-sensitive interventions in bullying behaviors, as well as the limitations of the study and directions for future research were presented.