Medical long-tailed learning for imbalanced data: Bibliometric analysis

Wu, Zheng; Guo, Kehua; Luo, Entao; Wang, Tian; Wang, Shoujin; Yang, Yi; Zhu, Xiangyuan; Ding, Rui

doi:10.1016/j.cmpb.2024.108106

Cited by 5 publications

(2 citation statements)

References 47 publications

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“…Descriptive statistics were acquired by utilizing the bibliometrix program, which is an integral part of the R package. We compared the proportions of pre-registered and guideline-compliant studies published in ophthalmology and non-ophthalmology journals using Pearson's Chi-squared test [30,31]. The R programming language and the opensource RStudio software (version 2023.03.0-daily+82.pro2)were exclusively utilized for all statistical analyses and data visualizations.…”

Section: Methodsmentioning

confidence: 99%

The Potential Impact of the Gut Microbiota on Neonatal Brain Development and Adverse Health Outcomes

Tzitiridou-Chatzopoulou,

Kountouras,

Zournatzidou

2024

Children

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Over the past decade, microbiome research has significantly expanded in both scope and volume, leading to the development of new models and treatments targeting the gut–brain axis to mitigate the effects of various disorders. Related research suggests that interventions during the critical period from birth to three years old may yield the greatest benefits. Investigating the substantial link between the gut and brain during this crucial developmental phase raises fundamental issues about the role of microorganisms in human health and brain development. This underscores the importance of focusing on the prevention rather than the treatment of neurodevelopmental and neuropsychiatric disorders. The present review examines the gut microbiota from birth to age 3, with a particular focus on its potential relationship with neurodevelopment. This review emphasizes the immunological mechanisms underlying this relationship. Additionally, the study investigates the impact of the microbiome on cognitive development and neurobehavioral issues such as anxiety and autism. Importantly, it highlights the need to integrate mechanistic studies of animal models with epidemiological research across diverse cultures to better understand the role of a healthy microbiome in early life and the implications of dysbiosis. Furthermore, this review summarizes factors contributing to the transmission of gut microbiome-targeted therapies and their effects on neurodevelopment. Recent studies on environmental toxins known to impact neurodevelopment are also reviewed, exploring whether the microbiota may mitigate or modulate these effects.

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Section: Methodsmentioning

confidence: 99%

The Potential Impact of the Gut Microbiota on Neonatal Brain Development and Adverse Health Outcomes

Tzitiridou-Chatzopoulou,

Kountouras,

Zournatzidou

2024

Children

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“… 21 Through graphical depiction, it may assist us in rapidly comprehending the development context and frontier hotspots of connected academic subjects, even though it is not able to fully display all the nuances of the topic. 22 , 23 As a result, this study uses a bibliometric approach based on CiteSpace to conduct an in-depth analysis of data mining research applied to the nursing field over the last two decades, with the goal of revealing the current research status, hotspots, and trends in the field from a visual perspective, which will provide new ideas and clues for future related research work.…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Zhang,

Ge,

Xia

et al. 2024

JMDH

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Backgrounds With the advent of the big data era, hospital information systems and mobile care systems, among others, generate massive amounts of medical data. Data mining, as a powerful information processing technology, can discover non-obvious information by processing large-scale data and analyzing them in multiple dimensions. How to find the effective information hidden in the database and apply it to nursing clinical practice has received more and more attention from nursing researchers. Aim To look over the articles on data mining in nursing, compiled research status, identified hotspots, highlighted research trends, and offer recommendations for how data mining technology might be used in the nursing area going forward. Methods Data mining in nursing publications published between 2002 and 2023 were taken from the Web of Science Core Collection. CiteSpace was utilized for reviewing the number of articles, countries/regions, institutions, journals, authors, and keywords. Results According to the findings, the pace of data mining in nursing progress is not encouraging. Nursing data mining research is dominated by the United States and China. However, no consistent core group of writers or organizations has emerged in the field of nursing data mining. Studies on data mining in nursing have been increasingly gradually conducted in the 21st century, but the overall number is not large. Institution of Columbia University, journal of Cin-computers Informatics Nursing , author Diana J Wilkie, Muhammad Kamran Lodhi, Yingwei Yao are most influential in nursing data mining research. Nursing data mining researchers are currently focusing on electronic health records, text mining, machine learning, and natural language processing. Future research themes in data mining in nursing most include nursing informatics and clinical care quality enhancement. Conclusion Research data shows that data mining gives more perspectives for the growth of the nursing discipline and encourages the discipline’s development, but it also introduces a slew of new issues that need researchers to address.

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Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

Huang,

Hu,

Peng

et al. 2024

Lecture Notes in Computer Science

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Medical long-tailed learning for imbalanced data: Bibliometric analysis

Cited by 5 publications

References 47 publications

The Potential Impact of the Gut Microbiota on Neonatal Brain Development and Adverse Health Outcomes

The Potential Impact of the Gut Microbiota on Neonatal Brain Development and Adverse Health Outcomes

Bibliometric Analysis of Development Trends and Research Hotspots in the Study of Data Mining in Nursing Based on CiteSpace

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection

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