A Bibliometric Study and Science Mapping Research of Intelligent Decision

Li, Bo; Zhang, Xu; Hong, Nan; Hussain, Amir

doi:10.1007/s12559-022-09993-3

Cited by 9 publications

(5 citation statements)

References 41 publications

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“…Endemic goiter was an emergent word from 2000 to 2009, while in recent years, the American Thyroid Association (ATA) and its related guidelines on iodine-induced thyroid dysfunction have been an emergent topic (2018–2022). The timeline viewer is based on the interaction and mutation relationship between keywords, which is helpful for exploring the evolution track ( 30 ) ( Figure 3D ). Keywords included “hashimoto thyroiditis”, “disease”, “subclinical hypothyroidism”, “women”, and “urinary iodine” have been top five hotspots since 2000 to 2022 in this field.…”

Section: Resultsmentioning

confidence: 99%

Iodine-induced thyroid dysfunction: a scientometric study and visualization analysis

Gong,

Wang,

Wang

et al. 2023

Front. Endocrinol.

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ObjectiveIodine is essential in thyroid hormone production. Iodine deficiency is associated with serious complications (i.e miscarriage and stillbirth), whereas excess can cause thyroid dysfunction (i.e hyperthyroidism, hypothyroidism, thyroid autoimmunity). We conducted this scientometric study to visualize hot spots and trends in iodine-induced thyroid dysfunction over past two decades. The aim of this paper was to help scholars quickly understand the development and potential trend in this field, and guide future research directions.MethodsArticles on iodine-induced thyroid dysfunction from 2000 to 2022 were retrieved from the Web of Science Core Collection (WoSCC) using the following search terms: (((((TS=(hypothyroid*)) OR TS=(hyperthyroid*)) OR TS= (“TSH deficiency”)) OR TS= (“thyroid stimulating hormone deficiency”)) AND TS=(Iodine)) NOT TS=(radioiodine). Only publications in English were selected. CiteSpace, VOSviewer, Tableau, Carrot2, and R software were used to analyze the contribution and co-occurrence relationships of different countries, institutes, keywords, references, and journals.ResultsA total of 2986 publications from 115 countries and 3412 research institutions were included. From 2000 to 2022, research on iodine-induced thyroid dysfunction progressed over a three-stage development period: initial development (2000-2009), stable development (2010-2016), and rapid development (2016-2022) period. The Journal of Clinical Endocrinology and Metabolism had the most co-citations followed and China Medical University (n=76) had the most publications. The top three clusters of co-citation references were isolated maternal hypothyroxinemia, subclinical hyperthyroidism, and brain development. Various scientific methods were applied to reveal acknowledge structure, development trend and research hotspots in iodine-induced thyroid dysfunction.ConclusionOur scientometric analysis shows that investigations related to pregnant women, epidemiology surveys, and iodine deficiency are promising topics for future iodine-induced thyroid dysfunction research and highlights the important role of iodine on thyroid function.

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Section: Resultsmentioning

confidence: 99%

Iodine-induced thyroid dysfunction: a scientometric study and visualization analysis

Gong,

Wang,

Wang

et al. 2023

Front. Endocrinol.

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“…The term "machine" here represents an intelligent system that makes decisions autonomously and independently (wholly or partly), and its autonomy is primarily achieved through simulation, artificial intelligence, and heuristic algorithms (Roth et al, 2019;Xiong et al, 2022;Li et al, 2022a). In order to make an evacuation decision, expert experience plays a critical role, especially in the preparation of evacuation plans, safety evacuation regulations, and rescue resource allocation, and often relies on expert knowledge and previous experience (Korbmacher and Tordeux, 2021).…”

Section: Research Methods Frontier: Man-machine Collaboration Methods...mentioning

confidence: 99%

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Liang

Wal²,

Xie³

et al. 2023

Safety Science

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“…Who will be held accountable when things go wrong?" It is essential to note that the highly efficient predictions of AI models are derived from Deep Neural Networks (DNNs) which originate from extremely complex non-linear statistical models and innumerable parameters, thus compromising the aforementioned algorithms' transparency [16,17]. Due to this, AI algorithms suffer from opacity i.e., the situation in which a system is unable to offer any reason or suitable explanation involved behind its decisions, commonly referred to as "the black-box problem."…”

Section: A Brief Historical Perspectivementioning

confidence: 99%

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

Hassija,

Chamola,

Mahapatra

et al. 2023

Cogn Comput

Self Cite

226

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Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based methodological development in a broad range of domains. In this rapidly evolving field, large number of methods are being reported using machine learning (ML) and Deep Learning (DL) models. Majority of these models are inherently complex and lacks explanations of the decision making process causing these models to be termed as 'Black-Box'. One of the major bottlenecks to adopt such models in mission-critical application domains, such as banking, e-commerce, healthcare, and public services and safety, is the difficulty in interpreting them. Due to the rapid proleferation of these AI models, explaining their learning and decision making process are getting harder which require transparency and easy predictability. Aiming to collate the current state-of-the-art in interpreting the black-box models, this study provides a comprehensive analysis of the explainable AI (XAI) models. To reduce false negative and false positive outcomes of these back-box models, finding flaws in them is still difficult and inefficient. In this paper, the development of XAI is reviewed meticulously through careful selection and analysis of the current state-of-the-art of XAI research. It also provides a comprehensive and in-depth evaluation of the XAI frameworks and their efficacy to serve as a starting point of XAI for applied and theoretical researchers. Towards the end, it highlights emerging and critical issues pertaining to XAI research to showcase major, model-specific trends for better explanation, enhanced transparency, and improved prediction accuracy.

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A Bibliometric Study and Science Mapping Research of Intelligent Decision

Cited by 9 publications

References 41 publications

Iodine-induced thyroid dysfunction: a scientometric study and visualization analysis

Iodine-induced thyroid dysfunction: a scientometric study and visualization analysis

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

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