Predictive modeling for improving incontinence and pressure ulcers in homecare patients

A comparison of traditional statistical techniques and knowledge discovery in database techniques is presented for examining risk factors and interventions predictive of incontinence and pressure ulcers for homecare patients. The data set consists of OASIS (Outcome and Assessment Information Set) and intervention data from the Omaha System from 15 homecare agencies.