000002963 001__ 2963
000002963 005__ 20250424232805.0
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 502__ $$gBiomedical Informatics
000002963 520__ $$aClinicians, like every other human, are not good prognosticators. With the ever- increasing complexity of healthcare, the inherent limitations of the human brain, and a  myriad of cognitive biases exacerbated by interruptions, fatigue and multitasking, it’s no  wonder that we often fail in our clinical predictions (1). The advances in medical  technology and the advent of Big Data have increased the complexity of clinical care, but  have also opened the door to data science at a scale not possible a few years ago (2).  Predictive analytics is perhaps the most promising area of data science in healthcare, and  coupled with our need for better predictions it’s ripe to potentially make a big impact in  the way we take care of our patients. Being able to predict a disease course, a  complication or the response to a therapy could help us shift from a reactive to a  proactive approach in healthcare.
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_ $$aSanchez-Pinto, Nelson$$uOregon Health and Science University$$041354
000002963 7201_ $$aMooney, Michael$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000002963 8564_ $$943006e7b-302e-4ef6-8ce2-63e781fa0507$$s857361$$uhttps://digitalcollections.ohsu.edu/record/2963/files/3737_etd.pdf$$ePublic$$2d94d8dfd3a9cfac0634f5395417fe0de$$31
000002963 905__ $$a/rest/prod/95/93/tv/38/9593tv387
000002963 909CO $$ooai:digitalcollections.ohsu.edu:2963$$pstudent-work
000002963 980__ $$aBiomedical Informatics