Diagnostic significance of C-reactive protein and hematological parameters in acute toxoplasmosis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Parasitology
Link
https://link.springer.com/content/pdf/10.1007/s12639-020-01262-0.pdf
Reference49 articles.
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2. Aguirre AA et al (2019) The one health approach to toxoplasmosis: epidemiology, control, and prevention strategies. EcoHealth 16(2):378–390. https://doi.org/10.1007/s10393-019-01405-7
3. Ayling RM, Lewis SJ, Cotter F (2019) Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia. Br J Haematol 185:311–316. https://doi.org/10.1111/bjh.15776
4. Banerjee A, Ray S, Vorselaars B, Kitson J, Mamalakis M, Weeks S, Mackenzie LS (2020) Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population. Int Immunopharmacol 86:106705. https://doi.org/10.1016/j.intimp.2020.106705
5. Bhardwaj N, Ahmed MZ, Sharma S, Nayak A, Anvikar AR, Pande V (2019) C-reactive protein as a prognostic marker of Plasmodium falciparum malaria severity. J Vector Borne Dis 56(2):122–126. https://doi.org/10.4103/0972-9062.263727
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