Classification and Regression Tree (CART) model of sonographic signs in predicting thyroid nodules malignancy

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Predicting malignancy in thyroid nodules: molecular advances.

Over the last several years, a clearer understanding has developed of the genetic alterations underlying thyroid carcinogenesis. This knowledge can be used to tackle 1 of the challenges facing thyroidologists: management of the indeterminate thyroid nodule. Despite the accuracy of fine-needle aspiration cytology, many patients undergo surgery to diagnose malignancy and better diagnostic tools a...

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Thyroid Nodules with Macrocalcification: Sonographic Findings Predictive of Malignancy

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Classification and Regression Tree (CART) Techniques

In certain research studies development of a reliable decision rule, which can be used to classify new observations into some predefined categories, plays an important role. The existing traditional statistical methods are inappropriate to use in certain specific situations, or of limited utility, in addressing these types of classification problems. There are a number of reasons for these diff...

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Malignancy Risk Assessment in Patients with Thyroid Nodules Using Classification and Regression Trees

Purpose. We sought to investigate the utility of classification and regression trees (CART) classifier to differentiate benign from malignant nodules in patients referred for thyroid surgery. Methods. Clinical and demographic data of 271 patients referred to the Sadoughi Hospital during 2006-2011 were collected. In a two-step approach, a CART classifier was employed to differentiate patients wi...

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Predicting malignancy in thyroid nodules: feasibility of a predictive model integrating clinical, biochemical, and ultrasound characteristics

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ژورنال

عنوان ژورنال: European Journal of Radiology Open

سال: 2019

ISSN: 2352-0477

DOI: 10.1016/j.ejro.2019.11.003