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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |