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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Using text mining techniques to extract prostate cancer predictive information (Gleason score) from semi-structured narrative laboratory reports in the Gauteng province, South Africa

Fig. 1

Diagram describing the logical processes used to analyse the raw narrative prostate biopsy report to generate the discovered knowledge. The steps were as follows: (i) data acquisition (ii) pre-processing and (iii) feature extraction, (iv) feature value representation, (v) feature selection, (vi) information extraction (vii) classification and (viii) discovered knowledge

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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