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Inferencing Strategies for Automated ALERTS on Critically Abnormal Laboratory and Blood Gas Data

Automating the recognition of critically abnormal laboratory and blood gas results is a non-trivial task. Human judgement is remarkably multifactorial with regard to evaluation of incoming data and appreciation of seriously abnormal events. We have implemented a decision support module for a compreh...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Shabot, M. Michael, LoBue, Mark, Leyerle, Beverley J., Dubin, Stuart B.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 1989
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC2245759/
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