Corpus ID: 16215348

Quantifying Counts , Costs , and Trends Accurately via Machine Learning

@inproceedings{Forman2007QuantifyingC,
  title={Quantifying Counts , Costs , and Trends Accurately via Machine Learning},
  author={G. Forman},
  year={2007}
}
  • G. Forman
  • Published 2007
  • In many business and science applications, it is important to track trends over historical data, for example, measuring the monthly prevalence of influenza incidents at a hospital. In situations where a machine learning classifier is needed to identify the relevant incidents from among all cases in the database, anything less than perfect classification accuracy will result in a consistent and potentially substantial bias in estimating the class prevalence. There is an assumption ubiquitous in… CONTINUE READING
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