Machine learning algorithms to predict the 1 year unfavourable prognosis for advanced schistosomiasis-Reference-Cited by-同舟云学术

Machine learning algorithms to predict the 1 year unfavourable prognosis for advanced schistosomiasis

Published:2021-10 Issue:11 Volume:51 Page:959-965
ISSN:0020-7519
Container-title:International Journal for Parasitology
language:en
Short-container-title:International Journal for Parasitology

Author:

Jiang Honglin,Deng Weicheng,Zhou Jie,Ren Guanghui,Cai Xinting,Li Shengming,Hu Benjiao,Li Chunlin,Shi Ying,Zhang Na,Zheng Yingyan,Chen Yue,Jiang Qingwu,Zhou Yibiao

Funder

University of Ottawa

Fudan University

Publisher

Elsevier BV

Subject

Infectious Diseases,Parasitology

Reference39 articles.

1. Grading of hepatic schistosomiasis by the use of ultrasonography;Abdelwahab;Am. J. Trop. Med. Hyg.,1992

2. Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes;Austin;J. Clin. Epidemiol.,2013

3. Measuring fitness of Kenyan children with polyparasitic infections using the 20-meter shuttle run test as a morbidity metric;Bustinduy;PLoS Negl. Trop. Dis.,2011

4. Investigation and treatment of newly discovered advanced schistosomiasis cases in Hunan Province in 2011;Chen;Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi,2013

5. Human schistosomiasis;Colley;Lancet,2014

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