Abstract
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.
Highlights
This study explores potential data mining applications in the Casemix context, which is expected to yield effective and efficient health care services
The analysis has been performed on the patients admitted due to abusive substance usage and treatment provided during the stay in hospital and discharge status for final medical diagnosis provided to patient those have suffered for long stay during hospitalization
There has been a tremendous increase in the incidence rate of admission cases in age group 45-49 years
Summary
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
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