000002963 001__ 2963
000002963 005__ 20231214104155.0
000002963 0247_ $$2DOI$$a10.6083/M4G73CP7
000002963 037__ $$aETD
000002963 245__ $$aPredictive analytics in the pediatric ICU using electronic health record data: clinical rationale, data science techniques, and evaluation of different prediction models to predict acute kidney injury
000002963 260__ $$bOregon Health and Science University
000002963 269__ $$a2015
000002963 336__ $$aCapstone
000002963 502__ $$bM.B.I.
000002963 540__ $$fCC BY
000002963 542__ $$fIn copyright - single owner
000002963 650__ $$aElectronic Health Records$$038928
000002963 650__ $$aRisk$$025521
000002963 650__ $$aMedical Informatics$$021938
000002963 650__ $$aPediatrics$$023687
000002963 650__ $$aCritical Care$$017198
000002963 650__ $$aAcute Kidney Injury$$039113
000002963 691__ $$aSchool of Medicine$$041369
000002963 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000002963 7001_ $$aSanchez-Pinto, L.$$uOregon Health and Science University$$041354
000002963 8564_ $$943006e7b-302e-4ef6-8ce2-63e781fa0507$$s857361$$uhttps://digitalcollections.ohsu.edu/record/2963/files/3737_etd.pdf
000002963 905__ $$a/rest/prod/95/93/tv/38/9593tv387
000002963 909CO $$ooai:digitalcollections.ohsu.edu:2963$$pstudent-work
000002963 980__ $$aBiomedical Informatics