Citations - Na Heung Sik

CONCLUSIONS: We applied a selected machine learning analysis to predict the result after treatment of SWL for urinary stone. About 88% accurate machine learning based predictive model was evaluated. The importance of machine learning algorithm can give matched insights to domain knowledge on effective and influential factors for SWL success... Read more
Published on: 2020-07-05
Source: Na Heung Sik
By: Seung Woo Yang
CONCLUSIONS: We applied a selected machine learning analysis to predict the result after treatment of SWL for urinary stone. About 88% accurate machine learning based predictive model was evaluated. The importance of machine learning algorithm can give matched insights to domain knowledge on effective and influential factors for SWL success... Read more
Published on: 2020-07-05
Source: Na Heung Sik
By: Seung Woo Yang
CONCLUSIONS: We applied a selected machine learning analysis to predict the result after treatment of SWL for urinary stone. About 88% accurate machine learning based predictive model was evaluated. The importance of machine learning algorithm can give matched insights to domain knowledge on effective and influential factors for SWL success... Read more
Published on: 2020-07-05
Source: Na Heung Sik
By: Seung Woo Yang
CONCLUSIONS: We applied a selected machine learning analysis to predict the result after treatment of SWL for urinary stone. About 88% accurate machine learning based predictive model was evaluated. The importance of machine learning algorithm can give matched insights to domain knowledge on effective and influential factors for SWL success... Read more
Published on: 2020-07-04
Source: Na Heung Sik
By: Seung Woo Yang
CONCLUSIONS: We applied a selected machine learning analysis to predict the result after treatment of SWL for urinary stone. About 88% accurate machine learning based predictive model was evaluated. The importance of machine learning algorithm can give matched insights to domain knowledge on effective and influential factors for SWL success... Read more
Published on: 2020-07-04
Source: Na Heung Sik
By: Seung Woo Yang
CONCLUSION: In conclusion, we established CIA in M. fascicularis, and the results can be used for drug evaluation models.... Read more
Published on: 2020-07-02
Source: Na Heung Sik
By: Hyun Sik Na
CONCLUSION: In conclusion, we established CIA in M. fascicularis, and the results can be used for drug evaluation models.... Read more
Published on: 2020-07-02
Source: Na Heung Sik
By: Hyun Sik Na
CONCLUSIONS: Our meta-analysis suggests that high expression levels of cathepsin D are associated with a poor prognosis in breast cancer. Based on our subgroup analysis, we believe that cathepsin D can act as a marker for poor breast cancer prognosis and also as a therapeutic target for breast cancer.... Read more
Published on: 2020-06-20
Source: Na Heung Sik
By: Junho Kang
Periodontitis is a chronic and multifactorial inflammatory disease that can lead to tooth loss. At present, the diagnosis for periodontitis is primarily based on clinical examination and radiographic parameters. Detecting the periodontal pathogens at the subgingival plaque requires skilled professionals to collect samples. Periodontal pathogens are also detected on various... Read more
Published on: 2020-05-24
Source: Na Heung Sik
By: Hee Sam Na
Osteoarthritis (OA), which is the most common degenerative joint disorder, has been considered a non-inflammatory disease with abnormal mechanics. Interleukin (IL)-17 is a pleiotropic cytokine involved in inflammatory diseases and their production is driven by the cytokine including IL-1 and IL-23. However, little is known about the mechanism of IL-17... Read more
Published on: 2020-05-21
Source: Na Heung Sik
By: Hyun Sik Na
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