AIMC Topic: Schistosoma japonicum
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Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum.
Scientific reports
May 20, 2024
This study intends to use the basic information and blood routine of schistosomiasis patients to establish a machine learning model for predicting liver fibrosis. We collected medical records of Schistosoma japonicum patients admitted to a hospital i...
[Establishment of a deep learning-based visual model for intelligent recognition of ].
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
Oct 27, 2021
OBJECTIVE: To establish a deep learning-based visual model for intelligent recognition of , the intermediate host of , and evaluate the effects of different training strategies for image recognition.
[The Effect of Lipopolysaccharide-Induced Mouse B Cell Activation on Schistosoma japonicum Development].
Zhongguo ji sheng chong xue yu ji sheng chong bing za zhi = Chinese journal of parasitology & parasitic diseases
Oct 1, 2015
OBJECTIVE: To investigate the effect of lipopolysaccharide (LPS)-induced B cell activation on the development of Schistosoma japonicum.
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