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Non-invasive Screening and Clinical decision support for type 2 diabetes based on artificial intelligence deep learning algorithm

Non-invasive Screening and Clinical decision support for type 2 diabetes based on artificial intelligence deep learning algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900021480
Enrollment
Unknown
Registered
2019-02-23
Start date
2019-04-01
Completion date
Unknown
Last updated
2019-02-25

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

Conditions

type 2 diabetes mellitus

Interventions

Control of diabetes blood sugar is good / bad:Retrospective observation

Sponsors

The Second Hospital of DaLian Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 100 Years

Inclusion criteria

Inclusion criteria: It is planned to extract data on type 2 diabetes patients in the hospital from January 1, 2010 to the present, including outpatient, inpatient, and emergency patients. At present, more than 90,000 patient data can be extracted. Considering follow-up and repeated hospitalization, more than 250,000 valid data can be obtained for big data training and learning.

Exclusion criteria

Exclusion criteria: In the research of artificial intelligence big data, the TensorFlow algorithm is used for big data operation. In the data cleaning stage, data is cleaned for missing values, outliers, and extreme data is excluded for modeling calculation.

Design outcomes

Primary

MeasureTime frame
Blood sugar;—

Countries

China

Contacts

Public ContactCe Zhang

The Second Hospital of DaLian Medical University

zhangce88@126.com+86 17709873135

Outcome results

None listed

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