Abstract

This work focuses on the topic of natural language processing for clinical data analysis. In a world where information is being generated at an exponential rate, the need for this information handling and management finds wide attention. The majority of the data being generated is in the form of unstructured data. The processing of structured information is relatively easier as compared to semi-structured or unstructured data. In the case of clinical data, the larger chunk is in unstructured form like the patient's case study and history. This chapter will provide a deeper insight into this class of data and will provide various solutions to how this data can be interpreted and represented for better healthcare of the common masses. In this chapter, the authors discuss a generic system developed for unstructured data handling: Natural Language Information Interpretation and Representation System (NLIIRS).

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