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Schistosomiasis

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Application of kNN and SVM to predict the prognosis of advanced schistosomiasis.

Parasitology research
Predictive models for prognosis of small sample advanced schistosomiasis patients have not been well studied. We aimed to construct prognostic predictive models of small sample advanced schistosomiasis patients using two machine learning algorithms, ...

Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence.

Frontiers in immunology
Schistosomiasis is a parasitic disease caused by trematode worms of the genus and affects over 200 million people worldwide. The control and treatment of this neglected tropical disease is based on a single drug, praziquantel, which raises concerns ...

[Evaluation of the performance of the artificial intelligence - enabled snail identification system for recognition of and ].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
OBJECTIVE: To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of and in schistosomiasis-endemic areas of Yunnan Province.

[Application of machine learning models in schistosomiasis control: a review].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
Schistosomiasis is a major public health concern in the world, and precision control is crucial to combating this disease. Due to the complex and diverse transmission route of schistosomiasis, conventional statistical models have significant limitati...

[Development of a grading diagnostic model for schistosomiasis-induced liver fibrosis based on radiomics and clinical laboratory indicators].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
OBJECTIVE: To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators.

[Prediction of schistosomiasis infection rates of population based on ARIMA-NARNN model].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
OBJECTIVE: To explore the effect of the autoregressive integrated moving average model-nonlinear auto-regressive neural network (ARIMA-NARNN) model on predicting schistosomiasis infection rates of population.

Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans.

International journal of environmental research and public health
BACKGROUND: We previously proposed a hybrid model combining both the autoregressive integrated moving average (ARIMA) and the nonlinear autoregressive neural network (NARNN) models in forecasting schistosomiasis. Our purpose in the current study was ...

[Expression of Tim-3 on Peripheral CD56(+) NK Cells and ItsCorrelation with Liver Fibrosis in Patients withAdvanced Schistosomiasis].

Zhongguo ji sheng chong xue yu ji sheng chong bing za zhi = Chinese journal of parasitology & parasitic diseases
OBJECTIVE: To explore the expression of T cell immunoglobulin and mucin domain protein 3 (Tim-3) on CD56(+) NK cells in peripheral blood and its correlation with liver fibrosis indicators in patients with advanced schistosomiasis.