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.
Choromanski
Lynn
L
University of Minnesota, Minneapolis, MN, USA.
Westra
Bonnie
B
Oancea
Cristina
C
Savik
Kay
K
Holmes
John H
JH
D003627:Data Interpretation, Statistical; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003661:Decision Support Techniques; D006699:Home Care Services; D006801:Humans; D015994:Incidence; D009329:Nebraska / Q000453:epidemiology; D003668:Pressure Ulcer / Q000453:epidemiology / Q000451:nursing* / Q000517:prevention & control*; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D014549:Urinary Incontinence / Q000453:epidemiology / Q000451:nursing* / Q000517:prevention & control*