Predicting the correlation between neurological abnormalities and thyroid dysfunction using artificial neural networks

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...

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Bibliographic Details
Main Authors: Dina Falah Noori Al-Sabak, Leila Sadeghi, Gholamreza Dehghan
Format: Article
Language:English
Published: AIMS Press 2024-10-01
Series:AIMS Biophysics
Subjects:
bilstm
deep learning network
neurological abnormalities
thyroid dysfunction
blood samples
hypothyroidism
parkinson
Online Access:https://www.aimspress.com/article/doi/10.3934/biophy.2024022
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https://www.aimspress.com/article/doi/10.3934/biophy.2024022

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