Zobrazeno 1 - 10
of 227
pro vyhledávání: '"medical data analysis"'
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 563-579 (2024)
The article presents the capabilities of the LETS Web system, which uses Internet of Things (IoT) technology to analyze medical data to optimize diagnostic processes. The article focuses on implementing decision tree algorithms that analyze electroca
Externí odkaz:
https://doaj.org/article/cf74c077df54471380e80df8bd3d8b6d
Publikováno v:
PeerJ Computer Science, Vol 10, p e2315 (2024)
In various fields, including medical science, datasets characterized by uncertainty are generated. Conventional clustering algorithms, designed for deterministic data, often prove inadequate when applied to uncertain data, posing significant challeng
Externí odkaz:
https://doaj.org/article/680ffbf08d99401e80bc752c62d67d4d
Publikováno v:
IEEE Access, Vol 12, Pp 130973-130982 (2024)
The use of pre-trained language models fine-tuned to address specific downstream tasks is a common approach in natural language processing (NLP). However, acquiring domain-specific knowledge via fine-tuning is challenging. Traditional methods involve
Externí odkaz:
https://doaj.org/article/77e647b0275e480999c8dd8677700235
Publikováno v:
IEEE Access, Vol 12, Pp 83563-83574 (2024)
The task of named entity recognition has been widely used in medical text analysis, but there is still the problem of poor transfer ability in practical applications. This work proposes a novel named entity recognition method based on a proposed know
Externí odkaz:
https://doaj.org/article/17fad6b4f8174c03a1469a22bd46ba7d
Publikováno v:
IEEE Access, Vol 11, Pp 30247-30272 (2023)
Over the past few years, the number and volume of data sources in healthcare databases has grown exponentially. Analyzing these voluminous medical data is both opportunity and challenge for knowledge discovery in health informatics. In the last decad
Externí odkaz:
https://doaj.org/article/56169625936d43409f0813436fc9aa0f
Akademický článek
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Akademický článek
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Akademický článek
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Autor:
Walaa N. Ismail
Publikováno v:
Diagnostics, Vol 13, Iss 15, p 2501 (2023)
Chronic kidney disease (CKD) refers to impairment of the kidneys that may worsen over time. Early detection of CKD is crucial for saving millions of lives. As a result, several studies are currently focused on developing computer-aided systems to det
Externí odkaz:
https://doaj.org/article/d5b958bf826c4441b4dec7d4dc2dd373
Autor:
Xiao Huang, Lie Ju, Jian Li, Linfeng He, Fei Tong, Siyu Liu, Pan Li, Yun Zhang, Xin Wang, Zhiwen Yang, Jianhao Xiong, Lin Wang, Xin Zhao, Wanji He, Yelin Huang, Zongyuan Ge, Xuan Yao, Weihua Yang, Ruili Wei
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundThyroid-associated ophthalmopathy (TAO) is one of the most common orbital diseases that seriously threatens visual function and significantly affects patients’ appearances, rendering them unable to work. This study established an intellig
Externí odkaz:
https://doaj.org/article/a68bb99c74a7429b90b7c49611614aed