Predicting the correlation between neurological abnormalities and thyroid dysfunction using artificial neural networks
In this work, a deep learning model was developed to predict future neurological parameters for patients with hypothyroidism, enabling proactive health management. The model features a sequential architecture, comprising a long short-term memory (LSTM) layer, a bidirectional LSTM layer, and several...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2024-10-01
|
| Series: | AIMS Biophysics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/biophy.2024022 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|