A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression

Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screening is complicated by the fact that the accuracy of noninvasive testing lacks specificity and sensitivity to make and stage the diagnosis. Currently no non-invasive ATP III criteria based prediction m...

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Detalles Bibliográficos
Autores principales: Perveen, Sajida, Shahbaz, Muhammad, Keshavjee, Karim, Guergachi, Aziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794753/
https://www.ncbi.nlm.nih.gov/pubmed/29391513
http://dx.doi.org/10.1038/s41598-018-20166-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794753/
https://www.ncbi.nlm.nih.gov/pubmed/29391513
http://dx.doi.org/10.1038/s41598-018-20166-x

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