A Classifier to Evaluate Language Specificity of Medical Documents

@article{Miller2007ACT,
  title={A Classifier to Evaluate Language Specificity of Medical Documents},
  author={Trudi Miller and Gondy Leroy and Samir Chatterjee and Jie Fan and Brian Thoms},
  journal={2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)},
  year={2007},
  pages={134-134}
}
Consumer health information written by health care professionals is often inaccessible to the consumers it is written for. Traditional readability formulas examine syntactic features like sentence length and number of syllables, ignoring the target audience's grasp of the words themselves. The use of specialized vocabulary disrupts the understanding of patients with low reading skills, causing a decrease in comprehension. A naive Bayes classifier for three levels of increasing medical… CONTINUE READING

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