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Leveraging 7-layers LSTM for Early Detection and Prevention of Diabetes in Oman: An Innovative Approach

2024-01-12

Abstract excerpt

This study develops a 7-layer Long Short-Term Memory (LSTM) model to enhance early diabetes detection in Oman, aligning with the theme of 'Artificial Intelligence in Healthcare'. The model focuses on addressing the increasing prevalence of Type 2 diabetes, projected to impact 23.8% of Oman's population by 2050. It employs LSTM neural networks to manage factors contributing to this rise, including ob...

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Literature Corpus work
32e05f79-08ea-5675-9074-4bdc25b7b0e9
DOI
10.20944/preprints202401.1026.v1
Open publication

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Leveraging 7-layers LSTM for Early Detection and Prevention of Diabetes in Oman: An Innovative ApproachDOI 10.20944/preprints202401.1026.v1
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