Medical Diagnosis Based on Multi-threshold Fuzzy Petri Net with Loop
To settle the loop judgement issue of the medical diagnosis process, a multi-threshold fuzzy Petri net with loop (MTFPNL) is proposed to simulate the evidence-based medical diagnosis process of“ initial diagnosis-confirmation”. The utilized mechanisms of MTFPNL could be classified into the followin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2024-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2386 |
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| Summary: | To settle the loop judgement issue of the medical diagnosis process, a multi-threshold fuzzy Petri net with loop (MTFPNL) is proposed to simulate the evidence-based medical diagnosis process of“ initial diagnosis-confirmation”. The utilized mechanisms of MTFPNL could be classified into the following aspects. Firstly, a novel multi-threshold transition is presented to make a judgement based on the doctors ′ examination data at the initial stage and to select the next step in the diagnosis process. Then, a loop structure is employed to conduct the multiple assisted medical diagnosis when the diagnosis cannot be confirmed by existing data and to strengthen the model ′ s selection of the diagnosis. Finally, an inference algorithm based on the presented MTFPNL is discussed to perform the evidence-based medical diagnosis process automatically. To further verify the feasibility of the proposed model, a set of cervical spine disease data is utilized to validate the model ′s ability. The experimental results reveal that the MTFPNL can effectively describe and execute the evidence-based medical diagnosis process of“initial-confirmed”. Meanwhile, this formalism also expands the application domain of FPN from acyclic FPN to looped FPN. |
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| ISSN: | 1007-2683 |