Special Issue Title:

Analysis and Application of Data Mining and Multi-Attribute Decision-Making Methods in Male Psychology during Epidemic Normalization

Deadline for manuscript submissions: 28 February 2023

Print Special Issue Flyer (1)

Special Issue Editor

  • Guest Editor

    Yen-Ching ChuangE-MailWebsite

    Institute of Public Health & Emergency Management, Taizhou University, Taizhou, Zhejiang, China; Business College, Taizhou University, Taizhou, Zhejiang, China

    Interests: Public Health; Emergency Management

  • Guest Editor

    Ching-Wen Chien, PhDE-MailWebsite

    Institute for Hospital Management, Tsing Hua University, Shenzhen, Guangdong, China

    Interests: Hospital Management

  • Guest Editor

    Tao-Hsin Tung, PhDE-MailWebsite

    Evidence-based Medicine Center, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China

    Interests: Hospital Management

  • Guest Editor

    James J.H. LiouE-MailWebsite

    Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan

    Interests: Industrial Engineering and Management

  • Guest Editor

    Chao LiuE-MailWebsite

    Institute for Hospital Management, Tsinghua University, Shenzhen, Guangdong, China

    Interests: Hospital Management

Special Issue Information

Dear Colleagues,


With the outbreak of COVID-19 in 2019, the world has stepped into the normalization of epidemic prevention and control. The epidemic has led to conditions such as increased stress in healthcare including difficulties and concerns in patient access to care. Long-term outbreaks may further lead to psychological trauma and burnout among healthcare providers. The life changes brought about by the epidemic further affect the psychological state of the population, such as health beliefs and perceptions of life. The psychological changes in health care and the population will in turn affect the effectiveness of epidemic prevention and control. In the real world, men may be less likely to express their psychological state (i.e. stress, burnout, and happiness). Therefore, psychological research on male healthcare personnel and the male population will help achieve better epidemic prevention and control, will provide a reference basis for healthcare managers to make decisions, and is a topic warranting further study.


With the continuous progress of information technology, many analytical methods can be applied to the study of complex medical problems. These include traditional statistical analysis methods, data-driven multi-attribute decision-making methods (data-driven MADM method) with data mining, expert knowledge, and data knowledge fusion. The effective integration of multiple aspects from different perspectives and the utilization of different methods can deepen the depth and breadth of research on the psychology of male health care and the public during epidemics, as well as promote innovation in the analysis of complex medical problems.


The purpose of this issue is to explore the use of data mining and statistical analysis to study the psychological changes and states of male healthcare personnel and the male population under the normalization of epidemics. Original research and review articles are welcome. Potential topics include, but are not limited to, the following:


Statistical analysis and assessment of the psychological state of male healthcare personnel and the male population during the presence of major infectious diseases.


Data-driven MADM method for psychological analysis of male healthcare personnel and the male population during epidemic situations.


Various data mining/machine learning/artificial intelligence models for the psychological study of male healthcare personnel and the male population during epidemic situations.


Psychological stress/burnout/happiness assessment and prevention strategies of male healthcare personnel and the male population in the prevention and control of major infectious disease outbreaks.


Dr. Yen-Ching Chuang, Prof. Ching-Wen Chien, Prof. Dr. Tao-Hsin Tung, Prof. James J.H. Liou and Mr. Chao Liu

Guest Editors

Keywords

Psychological state; Health care; Major infectious diseases; Data mining; Statistical analysis; Multi-attribute decision-making; Data-driven multi-attribute decision-making; Machine learning; Artificial intelligence; Psychological stress; Medical personnel and population; Prevention and controal

Manuscript Submission Information

Manuscripts should be submitted online by submit system. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Original articles, case reports or comprehensive reviews are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. JOMH is an international peer-reviewed open access journal published by MRE Press. As of January 2021, JOMH will change to a bimonthly journal. Please visit the Instructions for Authors page before submitting a manuscript.The Article Processing Charge (APC) for publication in this open access journal is $1200. We normally offer a discount greater than 30% to all contributors invited by the Editor-in-Chief, Guest Editor (GE) and Editorial board member. Submitted papers should be well formatted and use good English.

Share This Special Issue

Plan Papers (0 papers)

Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Directory of Open Access Journals (DOAJ) DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.

SCImago The SCImago Journal & Country Rank is a publicly available portal that includes the journals and country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.)

Publication Forum - JUFO (Federation of Finnish Learned Societies) Publication Forum is a classification of publication channels created by the Finnish scientific community to support the quality assessment of academic research.

Scopus CiteScore 0.7 (2021) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Norwegian Register for Scientific Journals, Series and Publishers Search for publication channels (journals, series and publishers) in the Norwegian Register for Scientific Journals, Series and Publishers to see if they are considered as scientific. (https://kanalregister.hkdir.no/publiseringskanaler/Forside).

Submission Turnaround Time

Conferences