<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>There is a close relationship between abnormal lipid metabolism and tumor malignant behavior, and abnormal lipid metabolism plays a crucial role in developing malignant tumors. Based on BiLSTM model, combined with Transformer Encoder and CRF decoder, the article successfully constructed a joint extraction model of medical literature, and with the help of Neo4j technology, built the knowledge graph of lipid metabolism abnormality and tumor occurrence and development. The study used data sources from WOSCC, CNKI, Wanfang, VIP, and other databases as data sources. It used bibliometric analysis and tools like CiteSpace and VOS viewer to visualize and analyze related studies in-depth. The study results showed that Oral Oncology in the UK ranked first in abnormalities of lipid metabolism in the number of publications, with a total of 301 related papers and an impact factor of 5.118. The number of studies related to oncology increased from 11 in 2010 to 414 in 2023, with a growth of more than 36.64 times. By comprehensively analyzing the current situation of abnormal lipid metabolism and tumorigenesis and development, this paper provides new ideas and perspectives for the study of cancer prevention, diagnosis, treatment and mechanism. It helps to promote the in-depth research and development of related fields.</p>
</abstract>

There is a close relationship between abnormal lipid metabolism and tumor malignant behavior, and abnormal lipid metabolism plays a crucial role in developing malignant tumors. Based on BiLSTM model, combined with Transformer Encoder and CRF decoder, the article successfully constructed a joint extraction model of medical literature, and with the help of Neo4j technology, built the knowledge graph of lipid metabolism abnormality and tumor occurrence and development. The study used data sources from WOSCC, CNKI, Wanfang, VIP, and other databases as data sources. It used bibliometric analysis and tools like CiteSpace and VOS viewer to visualize and analyze related studies in-depth. The study results showed that Oral Oncology in the UK ranked first in abnormalities of lipid metabolism in the number of publications, with a total of 301 related papers and an impact factor of 5.118. The number of studies related to oncology increased from 11 in 2010 to 414 in 2023, with a growth of more than 36.64 times. By comprehensively analyzing the current situation of abnormal lipid metabolism and tumorigenesis and development, this paper provides new ideas and perspectives for the study of cancer prevention, diagnosis, treatment and mechanism. It helps to promote the in-depth research and development of related fields.

Research status of abnormal lipid metabolism and tumorigenesis and development

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research status of abnormal lipid metabolism and tumorigenesis and development"}

There is a close relationship between abnormal lipid metabolism and tumor malignant behavior, and abnormal lipid metabolism plays a crucial role in developing...

Research status of abnormal lipid metabolism and tumorigenesis and development

Published Online: Apr 01, 2024

Page range: -

Received: Jan 19, 2024

Accepted: Jan 25, 2024

DOI: https://doi.org/10.2478/amns-2024-0692

Keywords
BiLSTM model, Transformer Encoder model, CRF decoder, Knowledge graph, Bibliometrics, Abnormal lipid metabolism, Tumor

© 2024 Zixuan Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research status of abnormal lipid metabolism and tumorigenesis and development

Published Online: Apr 01, 2024

Page range: -

Received: Jan 19, 2024

Accepted: Jan 25, 2024

DOI: https://doi.org/10.2478/amns-2024-0692

KeywordsBiLSTM model, Transformer Encoder model, CRF decoder, Knowledge graph, Bibliometrics, Abnormal lipid metabolism, Tumor

© 2024 Zixuan Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
BiLSTM model, Transformer Encoder model, CRF decoder, Knowledge graph, Bibliometrics, Abnormal lipid metabolism, Tumor