A practical tool for public health surveillance: Semi-automated coding of short injury narratives from large administrative databases using Naïve Bayes algorithms.
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Comparison of methods for auto-coding causation of injury narrativesHarnessing information from injury narratives in the 'big data' era: understanding and applying machine learning for injury surveillanceTrends in non-fatal agricultural injury in Maine and New Hampshire: results from a low-cost passive surveillance systemMortality, morbidity and health in developed societies: a review of data sources.An investigation into online videos as a source of safety hazard reports
P2860
A practical tool for public health surveillance: Semi-automated coding of short injury narratives from large administrative databases using Naïve Bayes algorithms.
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2015 nî lūn-bûn
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2015年の論文
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name
A practical tool for public he ...... using Naïve Bayes algorithms.
@en
type
label
A practical tool for public he ...... using Naïve Bayes algorithms.
@en
prefLabel
A practical tool for public he ...... using Naïve Bayes algorithms.
@en
P2093
P1476
A practical tool for public he ...... using Naïve Bayes algorithms.
@en
P2093
Helen L Corns
Helen R Marucci-Wellman
Mark R Lehto
P304
P356
10.1016/J.AAP.2015.06.014
P577
2015-09-24T00:00:00Z