A Bayesian Classifier for Differentiating Benign versus Malignant Thyroid Nodules using Sonographic Features

@article{Liu2008ABC,
  title={A Bayesian Classifier for Differentiating Benign versus Malignant Thyroid Nodules using Sonographic Features},
  author={Yueyi I. Liu and Aya Kamaya and Terry S. Desser and Daniel L. Rubin},
  journal={AMIA ... Annual Symposium proceedings. AMIA Symposium},
  year={2008},
  pages={419-23}
}
Thyroid nodules are a common, yet challenging clinical problem. The vast majority of these nodules are benign; however, deciding which nodule should undergo biopsy is difficult because the imaging appearance of benign and malignant thyroid nodules overlap. High resolution ultrasound is the primary imaging modality for evaluating thyroid nodules. Many sonographic features have been studied individually as predictors for thyroid malignancy. There has been little work to create predictive models… CONTINUE READING

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