title: Predictive modeling for improving incontinence and pressure ulcers in homecare patients.
abstract: 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.
authors.affiliation: University of Minnesota, Minneapolis, MN, USA.
authors.forename: Lynn
authors.initials: L
authors.lastname: Choromanski
authors.forename: Bonnie
authors.initials: B
authors.lastname: Westra
authors.forename: Cristina
authors.initials: C
authors.lastname: Oancea
authors.forename: Kay
authors.initials: K
authors.lastname: Savik
authors.forename: John H
authors.initials: JH
authors.lastname: Holmes
mesh_terms: 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*