Artificial intelligence in differentiating tropical infections: A step ahead

BACKGROUND AND OBJECTIVE: Differentiating tropical infections are difficult due to its homogenous nature of clinical and laboratorial presentations among them. Sophisticated differential tests and prediction tools are better ways to tackle this issue. Here, we aimed to develop a clinician assisted d...

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Detalles Bibliográficos
Autores principales: Shenoy, Shreelaxmi, Rajan, Asha K., Rashid, Muhammed, Chandran, Viji Pulikkel, Poojari, Pooja Gopal, Kunhikatta, Vijayanarayana, Acharya, Dinesh, Nair, Sreedharan, Varma, Muralidhar, Thunga, Girish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246149/
https://www.ncbi.nlm.nih.gov/pubmed/35771774
http://dx.doi.org/10.1371/journal.pntd.0010455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246149/
https://www.ncbi.nlm.nih.gov/pubmed/35771774
http://dx.doi.org/10.1371/journal.pntd.0010455

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