Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods
Cancer | 30 Aug 2016
TA Patel, M Puppala, RO Ogunti, JE Ensor, T He, JB Shewale, DP Ankerst, VG Kaklamani, AA Rodriguez, ST Wong and JC Chang
A key challenge to mining electronic health records for mammography research is the preponderance of unstructured narrative text, which strikingly limits usable output. The imaging characteristics of breast cancer subtypes have been described previously, but without standardization of parameters for data mining.
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