Back to search

Article

Exploring the Potential of Deep Learning Models Integrating Transformer and LSTM in Predicting Blood Glucose Levels for T1D Patients

2024-06-07

Abstract excerpt

<title>Abstract</title> <p>Type 1 diabetes (T1D) is an increasingly common chronic disease, and its incidence continues to rise globally, posing huge challenges to the public health system. At the same time, due to the need for long-term strict diet control and blood sugar monitoring, the management process of diabetes is relatively complicated, which brings a lot of inconvenience to patients' daily life. Predict...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1da1945b-6ad2-5975-8e99-5f6af31a2020
DOI
10.21203/rs.3.rs-4440333/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Exploring the Potential of Deep Learning Models Integrating Transformer and LSTM in Predicting Blood Glucose Levels for T1D PatientsDOI 10.21203/rs.3.rs-4440333/v1
Select a neighboring publication to make it the new centre.