Streamlining Quality Review of Mass Spectrometry Data in the Clinical Laboratory by Use of Machine Learning.
* Context.--Turnaround time and productivity of clinical mass spectrometric (MS) testing are hampered by timeconsuming manual review of the analytical quality of MS data before release of patient results. Objective.--To determine whether a classification model created by using standard machine learn...
| Published in: | Archives of Pathology & Laboratory Medicine Vol. 143; no. 8; pp. 990 - 999 |
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| Main Authors: | , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
College of American Pathologists
Aug2019
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| Online Access: | View this record in EBSCOhost |