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Scheme for Unstructured Knowledge Representation in Medical Expert System for Low Back Pain Management

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Smart Intelligent Computing and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 105))

Abstract

A fundamental requirement to achieve effectiveness in a medical expert system is the proper representation of knowledge about a patient. Knowledge about a patient is stored in the expert system in terms of clinical records which should contain information about multiple visits of the patient. During each visit, several conversations are made between the patient and the consulting physician. These conversations, being unstructured in nature, cannot be stored in the computer using available structured knowledge representation schemes. So, we propose a recursive frame-based structure for representing clinical records. The frames related to a patient collectively form a frame system, where one frame may point to other frames. The proposed representation scheme is complete, consistent, and free from redundancy.

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Correspondence to Sounak Sadhukhan .

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Santra, D., Sadhukhan, S., Basu, S.K., Das, S., Sinha, S., Goswami, S. (2019). Scheme for Unstructured Knowledge Representation in Medical Expert System for Low Back Pain Management. In: Satapathy, S., Bhateja, V., Das, S. (eds) Smart Intelligent Computing and Applications . Smart Innovation, Systems and Technologies, vol 105. Springer, Singapore. https://doi.org/10.1007/978-981-13-1927-3_4

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  • DOI: https://doi.org/10.1007/978-981-13-1927-3_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1926-6

  • Online ISBN: 978-981-13-1927-3

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