Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data

The development of genomic technology for smart diagnosis and therapies for various diseases has lately been the most demanding area for computer-aided diagnostic and treatment research. Exponential breakthroughs in artificial intelligence and machine intelligence technologies could pave the way for...

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Detalles Bibliográficos
Autores principales: Srinivasu, Parvathaneni Naga, Shafi, Jana, Krishna, T Balamurali, Sujatha, Canavoy Narahari, Praveen, S Phani, Ijaz, Muhammad Fazal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776641/
https://www.ncbi.nlm.nih.gov/pubmed/36553074
http://dx.doi.org/10.3390/diagnostics12123067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776641/
https://www.ncbi.nlm.nih.gov/pubmed/36553074
http://dx.doi.org/10.3390/diagnostics12123067

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