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Name Entity Recognition with syntactic and Lexical Processing in identifying Disease and Treatment Entities in healthcare data

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Syntactic Processing -Healthcare Data

Name Entity Recognition(NRE) using Syntatic Processing and Lexical Processing

Steps used in this Project

  • We need to process and modify the data into sentence format.
  • After that, we need to define the features to build the CRF model.
  • Then, we need to apply these features in each sentence of the train and the test dataset to get the feature values.
  • Once the features are computed, we need to define the target variable and then build the CRF model.
  • Then, we need to perform the evaluation using a test data set.
  • After that, we need to create a dictionary in which diseases are keys and treatments are values.

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Name Entity Recognition with syntactic and Lexical Processing in identifying Disease and Treatment Entities in healthcare data

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