Diabetes Mellitus Care Decision Making Model Through Data Mining

NCT ID: NCT00703027

Last Updated: 2012-03-27

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 2000 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2002-10-31
• Study Completion Date: 2007-09-30

Brief Summary

We tried to use data mining method to find out the new model of factors that affects the progression of diabetes mellitus.

Detailed Description

The advanced development of medical technology had led to the accumulation of a large amount of medical data. Unfortunately, these useful and meaningful clinical data were not properly managed or analyzed. Therefore, data mining technology has become an essential instrument for hospital management and medical research. Possible meaningful information can be obtained from the database through data mining. About 2,000 diabetic patients had been enrolled in Diabetes Care Program since Oct 2002 in our hospital. We intend to look for the determining factors that affect the prognosis of diabetes mellitus in our patients group.

Conditions

Diabetes Mellitus

Study Design

• Study Time Perspective: RETROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• diabetes mellitus who had been enrolled into the Diabetes Care Program from year 2002 until 2007.

Exclusion Criteria

• none

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 90 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

National Taiwan University

OTHER

Sponsor Role: collaborator

Far Eastern Memorial Hospital

OTHER

Sponsor Role: lead

Responsible Party

Ju-Ying Jiang

Attending physician

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Jiang Ju Ying, MD

Role: PRINCIPAL_INVESTIGATOR

Far Eastern Memorial Hospital

Other Identifiers

96027

Identifier Type: -

Identifier Source: org_study_id