Low back pain expert systems: Clinical resolution through probabilistic considerations and poset

作者：

Highlights：

• Expert-level Low Back Pain diagnosis using Artificial Intelligence based system

• Efficient clinical evaluation through consideration of numerous pain generators

• Construction of poset based network for effective clinical decision making

• Adaptation of probabilistic measures for resolution of clinical uncertainties

• High sensitivity of the proposed resolution technique compared to gold standard

摘要

•Expert-level Low Back Pain diagnosis using Artificial Intelligence based system•Efficient clinical evaluation through consideration of numerous pain generators•Construction of poset based network for effective clinical decision making•Adaptation of probabilistic measures for resolution of clinical uncertainties•High sensitivity of the proposed resolution technique compared to gold standard

论文关键词：Medical expert system,Subgrouping of low back pain,Knowledge representation,Probabilistic inference logic,Partially ordered set,Clinical uncertainty handling

论文评审过程：Received 8 November 2020, Revised 22 July 2021, Accepted 31 August 2021, Available online 3 September 2021, Version of Record 16 September 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102163