Rough set based lattice structure for knowledge representation in medical expert systems: Low back pain management case study

作者：

Highlights：

• Exhaustive but non-redundant medical knowledge acquisition by lattice-based approach.

• Easy modification of knowledge base maintaining completeness and consistency.

• Measured reliability of decision rule and re-defined certainty and coverage factor.

• Achieved computational efficiency using rough-lattice based knowledge representation.

• Generated optimal rule sets to be used directly in clinical diagnosis.

摘要

•Exhaustive but non-redundant medical knowledge acquisition by lattice-based approach.•Easy modification of knowledge base maintaining completeness and consistency.•Measured reliability of decision rule and re-defined certainty and coverage factor.•Achieved computational efficiency using rough-lattice based knowledge representation.•Generated optimal rule sets to be used directly in clinical diagnosis.

论文关键词：Medical expert system,Lattice structure,Rough set theory,Knowledge-base,Low back pain

论文评审过程：Received 2 October 2018, Revised 19 October 2019, Accepted 9 November 2019, Available online 6 December 2019, Version of Record 27 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113084