Diabetes Mellitus Care Decision Making Model Through Data Mining

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

Completed

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Key information

Conditions

Diabetes Mellitus Endocrine System Diseases Glucose Metabolism Disorders Metabolic Diseases Nutritional and Metabolic Diseases

Age range

18 year–90 year

Sex eligibility

All sexes

Study type

Observational

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

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

Exclusion criteria

none

Sponsors and collaborators

Lead sponsor

Far Eastern Memorial Hospital

Other

Collaborators

National Taiwan University

Registry information

Important dates

Study start: 2002
Study completion: 2007
First posted: Jun 20, 2008
Registry last updated: Mar 27, 2012

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Completed