Article
Computer Science, Information Systems
Nawaf Alharbe, Abeer Aljohani, Mohamed Ali Rakrouki
Summary: Cloud computing has gained extensive attention due to its convenience and ubiquity. However, security issues, particularly related to multi-tenancy and virtualization, pose obstacles to its development. This paper proposes a data partitioning method to prevent privacy leakage in a multi-tenant scenario, specifically in protecting patient data in health informatics. Experimental results demonstrate the effectiveness of the proposed algorithm in fine-grained attribute partitioning and sensitive information protection.
Editorial Material
Computer Science, Theory & Methods
Jesus Carretero, Dagmar Krefting
Summary: Computational methods play a crucial role in bioinformatics and biomedicine, especially in managing large-scale data and simulating complex models. This special issue focuses on security and performance aspects in infrastructure, optimization for popular applications, and the integration of machine learning and data processing platforms to improve the efficiency and accuracy of bioinformatics.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Review
Health Care Sciences & Services
Wei Ouyang, Wenzhao Xie, Zirui Xin, Haiyan He, Tingxiao Wen, Xiaoqing Peng, Pingping Dai, Yifeng Yuan, Fei Liu, Yang Chen, Aijing Luo
Summary: CHI research has been rapidly growing since 2015, with an average of 93 publications per year. The main themes of research focus on patient education, health information needs, health information search behavior, health behavior intervention, health literacy, health information technology, eHealth, among others. The evolution path of patient education and intervention research, consumer demand, attitude, and behavior research has been relatively stable, and it is expected to continue to be a research hotspot in this field. Research on internet and information technology application is a secondary theme evolution path with potential for development.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Review
Cardiac & Cardiovascular Systems
John Harry Caufield, Dibakar Sigdel, John Fu, Howard Choi, Vladimir Guevara-Gonzalez, Ding Wang, Peipei Ping
Summary: The search for new strategies in understanding cardiovascular diseases is ongoing, with a focus on information collection, data processing, and the integration of machine learning and artificial intelligence. Interdisciplinary approaches such as automated information extraction and unification of -omics data play a crucial role in advancing CV informatics. Utilizing open data sources and interoperable computational systems can drive discovery and facilitate molecular phenotyping of CV diseases.
CARDIOVASCULAR RESEARCH
(2022)
Article
Computer Science, Information Systems
Hongyuan Wang, Mohammed Dauwed, Imran Khan, Nor Samsiah Sani, Hasmila Amirah Omar, Hirofumi Amano, Samih M. Mostafa
Summary: Physical sensors, intelligent sensors, and output recommendations are examples of smart health technology that can monitor patients' health and change their behavior. Smart health is an IoT-aware network and sensing infrastructure that provides real-time, intelligent, and ubiquitous healthcare services. Cloud computing and related technologies have been the focus of smart health research in recent years.
CMC-COMPUTERS MATERIALS & CONTINUA
(2023)
Article
Public, Environmental & Occupational Health
Ben Glampson, James Brittain, Amit Kaura, Abdulrahim Mulla, Luca Mercuri, Stephen J. Brett, Paul Aylin, Tessa Sandall, Ian Goodman, Julian Redhead, Kavitha Saravanakumar, Erik K. Mayer
Summary: This study in North West London found that Black individuals had the highest rate of declining COVID-19 vaccination, and areas with higher socioeconomic deprivation tended to have higher rates of vaccine hesitancy. Early data showed a significant reduction in the risk of testing positive for COVID-19 and a low proportion of hospital admissions among vaccinated individuals.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2021)
Article
Public, Environmental & Occupational Health
Cong Liu, Junghwan Lee, Casey Ta, Ali Soroush, James R. Rogers, Jae Hyun Kim, Karthik Natarajan, Jason Zucker, Yehoshua Perl, Chunhua Weng
Summary: This study found that individuals vaccinated with Pfizer/BNT162b2, males, and those with compromised immune systems or certain underlying conditions were at higher risk for breakthrough COVID-19 infections.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2022)
Article
Medicine, General & Internal
Kristiana Ludlow, Johanna Westbrook, Mikaela Jorgensen, Kimberly E. Lind, Melissa T. Baysari, Leonard C. Gray, Richard O. Day, Julie Ratcliffe, Stephen R. Lord, Andrew Georgiou, Jeffrey Braithwaite, Magdalena Z. Raban, Jacqueline Close, Elizabeth Beattie, Wu Yi Zheng, Deborah Debono, Amy Nguyen, Joyce Siette, Karla Seaman, Melissa Miao, Jo Root, David Roffe, Libby O'Toole, Marcela Carrasco, Alex Thompson, Javed Shaikh, Jeffrey Wong, Cynthia Stanton, Rebecca Haddock
Summary: There is a need for improved care quality and quality monitoring in aged care, with this study focusing on designing and testing a dashboard in residential aged care facilities and community-based aged care settings. The research will involve co-designing features with various stakeholders, integrating data silos, developing risk models, and testing prototypes with users. Findings will be disseminated through peer-reviewed journal articles, policy briefs, and conference presentations.
Article
Automation & Control Systems
Amrita Sisodia, Rajni Jindal
Summary: The concept of health 4.0 is inspired by industry 4.0, aiming to make health management more timely and personalized. New technologies like 5G are providing ambient intelligence for the coordination of medical services. The intersection of big data and industry 4.0 in healthcare is gaining attention from academics and industries.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Medicine, General & Internal
David Fraile-Navarro, Amaya Azcoaga-Lorenzo, Utkarsh Agrawal, Bhautesh Jani, Adeniyi Fagbamigbe, Dorothy Currie, Alexander Baldacchino, Frank Sullivan
Summary: This study developed a novel algorithm to categorise alcohol consumption using primary care electronic health records (EHRs) and assessed its reliability by comparing it with self-reported data. The results showed that alcohol consumption may be underestimated in primary care EHRs, and using numerical values (alcohol units) may improve the classification.
Article
Chemistry, Analytical
Muhammad Fahimullah, Guillaume Philippe, Shohreh Ahvar, Maria Trocan
Summary: This paper compares different FC simulators based on their technical and non-technical characteristics, and conducts a practical comparison of the three main FC simulators based on their performance. It also discusses the open issues and challenges for FC simulators that need to be addressed in the future.
Review
Computer Science, Information Systems
Maniah, Benfano Soewito, Ford Lumban Gaol, Edi Abdurachman
Summary: This study examines the types and components of risks in cloud migration using the Systematic Literature Review (SLR) method. The results show that there are 7 types of risks in cloud migration, including information security risk and risk of losing data access, as well as 5 risk components, including threats and impacts.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Sue S. Feldman, Neset Hikmet, Shikha Modi, Benjamin Schooley
Summary: This study investigates provider perceptions on HIE comparing those who had prior experience vs those who had no experience with it. Six constructs related to the value of HIE are identified. The results show that different provider perspectives exist depending on prior experience, age, gender, license, and organization setting.
INFORMATION SYSTEMS FRONTIERS
(2022)
Article
Computer Science, Information Systems
Minna Mykkanen, Ulla-Mari Kinnunen, Pia Liljamo, Outi Ahonen, Anne Kuusisto, Kaija Saranto
Summary: This study analyzed the use of the Finnish Care Classification (FinCC) in assessing patient care needs, care implementations, and outcomes of nursing care. The results showed that standardized nursing data can make patients' daily care transparent and can be utilized to generate new knowledge at the ward level.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Automation & Control Systems
Yao Yu, Shumei Liu, Phee Lep Yeoh, Branka Vucetic, Yonghui Li
Summary: The article introduces LayerChain, a hierarchical edge-cloud blockchain solution that tackles critical limitations in efficient storage and rapid response for large-scale low-delay IIoT scenarios. Through a layered structure, a node classification method, and a tree-based clustering algorithm, LayerChain successfully reduces resource requirements and block propagation time, making it suitable for such applications.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Jinxin Yang, Dongxiao Gu, Shanlin Yang, Kongchun Mei, Yunxia Cao
Summary: In this paper, a new linguistic fuzzy model called HIVPLZN is proposed, which combines a linguistic fuzzy set and a linguistic Z-number. It enhances the reliability of decision-making information, reflects the fuzziness, flexibility, and practicability of decision-making information, and has wide applications in various fields. The paper presents a method to solve multi-attribute group decision-making problems and introduces related operators, aggregation operator, and score functions of HIVPLZN. The feasibility and validity of the method are verified through an example and comparison with existing methods.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2022)
Article
Integrative & Complementary Medicine
Jian Xiong, Ziwen Wang, Minmin Ruan, Hengshan Yao, Miao Wei, Ruirui Sun, Xuejie Yang, Wenchuan Qi, Fanrong Liang
Summary: Neuroimaging studies on the effects of acupuncture have been conducted since the 1960s, with China, the United States, and South Korea leading in research. The focus of current research is on pain and neurofunctional rehabilitation.
COMPLEMENTARY THERAPIES IN MEDICINE
(2022)
Article
Biodiversity Conservation
Anle Yang, Han Zhang, Xuejie Yang, Xiaoping Zhang
Summary: The research on the vegetation NPP driving mechanism in the Qilian Mountain area provides reference for ecological security protection in northwest China. It is found that the vegetation NPP in the Qilian Mountain area generally shows an upward trend and is positively correlated with precipitation and temperature. Human activities also have a certain impact on vegetation NPP.
HUMAN AND ECOLOGICAL RISK ASSESSMENT
(2023)
Article
Computer Science, Information Systems
Dongxiao Gu, Min Li, Xuejie Yang, Yadi Gu, Yu Zhao, Changyong Liang, Hu Liu
Summary: This study constructs an intelligent method for identifying psychological cognitive change based on natural language processing technology, and it incorporates emotion information from reply text to determine whether such change has occurred. The experimental results show that the proposed classification model performs better than traditional methods, achieving precision of 84.38%, recall rate of 84.09%, and F1 value of 84.17%.
INFORMATION PROCESSING & MANAGEMENT
(2023)
Article
Engineering, Chemical
Guoqiang Yu, Yuyang Liu, Xuejie Yang, Yarong Li, Yongqiang Li, Yanbo Zhang, Chiyang He
Summary: This study reports a novel sp2-carbon conjugated COF material named sp2c-TFPA-pXD, which exhibits excellent chemical and thermal stability, making it suitable for harsh environments such as radioiodine treatment. The material shows moderate iodine capture capacity in iodine vapor and acceptable iodine capture performance under high temperature and low iodine concentration conditions. Furthermore, it can be reused and maintain its original iodine capture performance after multiple cycles. The study highlights the potential of sp2c-TFPA-pXD for iodine capture and encourages further research on the radio-iodine capture potential of other stable COFs.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Information Science & Library Science
Xuejie Yang, Dongxiao Gu, Honglei Li, Changyong Liang, Hemant K. Jain, Peipei Li
Summary: This study investigates the process of developing loyalty in the Chinese mobile health community from the perspective of information seeking. A covariance-based structural equation model was developed and tested with 191 mobile health platform user samples. The empirical results show that the information seeking perspective provides an interesting explanation for the loyalty development process in the mobile health community. All hypotheses in the research model are supported, except the relationship between privacy and trust. Attitudinal loyalty and behavioral loyalty in the mobile health community are explained with 58% and 37% variance, respectively.
INFORMATION TECHNOLOGY & PEOPLE
(2023)
Article
Computer Science, Information Systems
Jian Xu, Hemant K. Jain, Dongxiao Gu, Changyong Liang
Summary: This paper discusses the challenges of selecting and assembling cloud services to support multiple related business processes and proposes a multi-factor cloud service composition optimal selection model and an improved differential evolution algorithm for solution.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Computer Science, Information Systems
Dongxiao Gu, Hu Liu, Huimin Zhao, Xuejie Yang, Min Li, Changyong Liang
Summary: Improving health literacy through health information dissemination is an effective approach for enhancing population health. A health information topic modeling analysis framework integrating deep learning and clustering techniques is proposed to address the issue of supply-demand mismatch and information overload. The empirical analysis shows that there is inconsistency between the supply and demand of health information, particularly for disease-related topics. Public health policy-making departments and content producers can improve the effectiveness of public health information dissemination by adjusting their information selection and dissemination strategies based on identified health topics.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
(2023)
Review
Health Care Sciences & Services
Xiaoyu Wang, Yi Xie, Xuejie Yang, Dongxiao Gu
Summary: With the development of new-generation information technology and increasing health needs, the requirements for Chinese medicine (CM) services have shifted toward the 5P medical mode. This study investigates the current state of development of CM knowledge services and emphasizes the need for accurate and sophisticated knowledge service in the modernization of CM. The study also explores the concept of smart CM knowledge services and its main features, as well as the intelligent service method of traditional Chinese medicine under the 5P medical mode.
Article
Health Care Sciences & Services
Qi Wei, Xiaoyu Wang, Gongrang Zhang, Xingguo Li, Xuejie Yang, Dongxiao Gu
Summary: Internet healthcare is crucial for the digital transformation of the healthcare industry and plays a vital role in achieving China's Healthy China strategy. This study analyzes current policy texts to identify potential issues and inadequacies and reveals that while policies are generally well-formulated, there are imbalances in their implementation. It is important to optimize the amalgamation and implementation of policy instruments and refine the policy content to maximize policy utility.
Article
Cell Biology
Xuejie Yang, Chunrong Wang, Hui Nie, Jianhua Zhou, Xiaoyun He, Chunlin Ou
Summary: In this study, the roles of MCM genes in lung squamous cell carcinoma (LUSC) were investigated. The results showed aberrant expression of MCM family members in LUSC, and their expression correlated with patient prognosis and infiltrating immune cells.
Article
Health Care Sciences & Services
Qingxiu Ding, Yadi Gu, Gongrang Zhang, Xingguo Li, Qin Zhao, Dongxiao Gu, Xuejie Yang, Xiaoyu Wang
Summary: The paper discusses the factors leading to health-information avoidance and how they combine to produce this behavior. The study reveals that health-information avoidance is not solely caused by one factor, but rather a combination of various factors working together.
Article
Management
Yan Qiu, Dongxiao Gu, Hongmin Zhang, Hua Tang, Yunxia Cao
Summary: Emphasizing the importance of medical service matching between suppliers and demanders, a two-stage matching decision-making method is proposed which considers patient similarity and bilateral preferences. Specific rules are used to calculate the integrated preference difference values between patients and doctors. The proposed method is verified through a case study on an online health platform.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS
(2022)
