Cite Article
Cite Article
MLA
Qin, Qiuli, et al. "An Application of Deep Belief Networks in Early Warning for Cerebrovascular Disease Risk." JOEUC vol.34, no.4 2022: pp.1-14. http://doi.org/10.4018/JOEUC.287574
APA
Qin, Q., Yang, X., Zhang, R., Liu, M., & Ma, Y. (2022). An Application of Deep Belief Networks in Early Warning for Cerebrovascular Disease Risk. Journal of Organizational and End User Computing (JOEUC), 34 (4), 1-14. http://doi.org/10.4018/JOEUC.287574
Chicago
Qin, Qiuli, et al. "An Application of Deep Belief Networks in Early Warning for Cerebrovascular Disease Risk," Journal of Organizational and End User Computing (JOEUC) 34, no.4: 1-14. http://doi.org/10.4018/JOEUC.287574
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Journal of Organizational and End User Computing (JOEUC) The
Journal of Organizational and End User Computing (JOEUC) , which has been published for more than 30 years, provides high impact research in all areas of organizational and end-user computing (OEUC), spanning topics including human-computer interaction, web design, end user computing management, computing privacy and security, productivity and performance, and more. Due to its comprehensive coverage, as well as it’s expanding list of over 1,000+ industry-leading contributors from more than 30 countries, spanning six continents, this journal has been accepted into prestigious indices most notably Web of Science® - Science Citation Index Expanded®, Web of Science Social Science Citation Index®, Scopus®, Compendex®, and more. As both editors have extensively contributed to IGI Global publications and others within their field of research, this journal provides the latest findings through full-length research manuscripts, as well as featured open access articles. Additionally, all articles within this journal undergo a rigorous double-blind peer review process ensuring that all material is of the utmost quality.
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