Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data
- DOI
- 10.3390/diagnostics12123067
- Published
- 12
- Container
- Diagnostics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/diagnostics12123067,
title = {Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data},
author = {Parvathaneni Naga Srinivasu and Jana Shafi and T Balamurali Krishna and Canavoy Narahari Sujatha and S Phani Praveen and Muhammad Fazal Ijaz},
year = {2022},
journal = {Diagnostics},
doi = {10.3390/diagnostics12123067},
url = {https://doi.org/10.3390/diagnostics12123067}
}RIS
TY - JOUR TI - Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data AU - Parvathaneni Naga Srinivasu AU - Jana Shafi AU - T Balamurali Krishna AU - Canavoy Narahari Sujatha AU - S Phani Praveen AU - Muhammad Fazal Ijaz PY - 2022 JO - Diagnostics DO - 10.3390/diagnostics12123067 UR - https://doi.org/10.3390/diagnostics12123067 ER -
APA
Srinivasu, P. N., Shafi, J., Krishna, T. B., Sujatha, C. N., Praveen, S. P., & Ijaz, M. F. (2022). Using Recurrent Neural Networks for Predicting Type-2 Diabetes from Genomic and Tabular Data. Diagnostics. https://doi.org/10.3390/diagnostics12123067
Source records
- doaj · retrieved 2026-09-25T08:27:07.810Z