, 12:O3,
Open Access This content is freely available online to anyone, anywhere at any time.
Date: 21 Nov 2012

Data mining cluster analysis on the influence of health factors in Casemix data

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Background

This study explores potential data mining applications in the Casemix context, which is expected to yield effective and efficient health care services. The objective of work focuses on determining hidden relevant patterns which can’t be processed by human capabilities all alone. California Drug and Alcohol treatment Assessment (CALDATA) of administrative type database can be relevant study for the medical diagnosis in usage of alcohol and drugs for patients admitted and discharged during the stay in hospital to discover knowledge for recovery process.

Methods

We utilized the observational study on cases registered to California Department of Alcohol and Drug Programs (ADP) to promote the initiative for increasing availability of abusive drug usage data for better drug recovery services among the California. The cases were diagnosed with Minitab diagnostic tool to access the Casemix databases for retrieval of hidden information using data mining tools. The K means clustering hav ...