Diabetes Mellitus Care Decision Making Model Through Data Mining

Status

Completed

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT00703027

Enrollment

2000

Registered

2008-06-20

Start date

2002-10-31

Completion date

2007-09-30

Last updated

2012-03-27

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

Conditions

Diabetes Mellitus

Keywords

diabetes mellitus, care decision, data mining

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.

Interventions

None listed

Study design

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to 90 Years

Healthy volunteers

Inclusion criteria

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

Exclusion criteria

* none

Outcome results