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Construction of insulin dose prediction model based on RNN-LSTM in patients with type 2 diabetes using short-term intensive insulin pump treatment.

Construction of insulin dose prediction model based on RNN-LSTM in patients with type 2 diabetes using short-term intensive insulin pump treatment.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400089353
Enrollment
Unknown
Registered
2024-09-06
Start date
2023-04-27
Completion date
Unknown
Last updated
2024-09-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Type 2 Dibetes

Interventions

Newly diagnosed type 2 diabetes with short-term intensive insulin treatment group:None
Non-newly diagnosed type 2 diabetes with short-term intensive insulin treatment group:None

Sponsors

The First Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to 80 Years

Inclusion criteria

Inclusion criteria: Case records of all the patients with type 2 diabetes mellitus hospitalized between year 2001 and 2020 in the Department of Endocrinology, First Affiliated Hospital of Sun Yat-sen University were retrieved. Patients who received short-term intensive insulin pump treatment were included in the study, including those with newly diagnosed type 2 diabetic patients and non-newly diagnosed type 2 diabetic patients.

Exclusion criteria

Exclusion criteria: 1. Missing data on CBG or prescription that compromises analysis. 2. Type 2 diabetic patients received treatment other than short-term intensive insulin pump treatment during hospital stay. 3. Severe complications or comorbidities with severe organ failure that the investigator dictates not suitable for the study.

Design outcomes

Primary

MeasureTime frame
Capillary blood glucose;

Countries

China

Contacts

Public ContactHuang Zhimin

The First Affiliated Hospital of Sun Yat-sen University

hzhim@mail.sysu.edu.cn+86 139 2505 7613

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026