Mining association rules between abnormal health examination results and outpatient medical records.

This study used the medical database of a regional hospital in Taiwan to illustrate how association rules can be found between abnormal health examination results and outpatient illnesses. The rules can help to build up a disease-prevention knowledge database that assists healthcare providers in follow-up treatment and prevention. Furthermore, this study proposes a new algorithm, the data cutting and sorting method, or DCSM, in place of the traditional Apriori algorithm. DCSM significantly improves the mining performance of Apriori by reducing the time to scan health examination and outpatient medical records, both of which are databases of immense sizes. PMID: 23736654 [PubMed - indexed for MEDLINE]
Source: Health Information Management Journal - Category: Health Management Tags: HIM J Source Type: research