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Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls

While Electronic Medical Records (EMR) contain detailed records of the patient-clinician encounter — vital signs, laboratory tests, symptoms, caregivers’ notes, interventions prescribed and outcomes — developing predictive models from this data is not straightforward. These data contain systematic b...

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Détails bibliographiques
Auteurs principaux: Paxton, Chris, Niculescu-Mizil, Alexandru, Saria, Suchi
Format: Artigo
Langue:Inglês
Publié: American Medical Informatics Association 2013
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3900132/
https://ncbi.nlm.nih.gov/pubmed/24551396
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