An ontology-based approach to the analysis of the acid-base state of patients at operative measures
Researchers working in various domains are focusing on extracting information from data sets by data mining techniques. However, data mining is a complicated task, including multiple complex processes, so that it is unfriendly to non-computer researchers. Due to the lack of experience, they cannot d...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2021-12-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-777.pdf |
| _version_ | 1818458718989189120 |
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| author | Man Tianxing Mikhail Lushnov Dmitry I. Ignatov Yulia Alexandrovna Shichkina Natalia Alexandrovna Zhukova Alexander Ivanovich Vodyaho |
| author_facet | Man Tianxing Mikhail Lushnov Dmitry I. Ignatov Yulia Alexandrovna Shichkina Natalia Alexandrovna Zhukova Alexander Ivanovich Vodyaho |
| author_sort | Man Tianxing |
| collection | DOAJ |
| description | Researchers working in various domains are focusing on extracting information from data sets by data mining techniques. However, data mining is a complicated task, including multiple complex processes, so that it is unfriendly to non-computer researchers. Due to the lack of experience, they cannot design suitable workflows that lead to satisfactory results. This article proposes an ontology-based approach to help users choose appropriate data mining techniques for analyzing domain data. By merging with domain ontology and extracting the corresponding sub-ontology based on the task requirements, an ontology oriented to a specific domain is generated that can be used for algorithm selection. Users can query for suitable algorithms according to the current data characteristics and task requirements step by step. We build a workflow to analyze the Acid-Base State of patients at operative measures based on the proposed approach and obtain appropriate conclusions. |
| first_indexed | 2024-12-14T23:02:55Z |
| format | Article |
| id | doaj.art-c1988b842db34c9b8cecbee30318f418 |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-12-14T23:02:55Z |
| publishDate | 2021-12-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-c1988b842db34c9b8cecbee30318f4182022-12-21T22:44:25ZengPeerJ Inc.PeerJ Computer Science2376-59922021-12-017e77710.7717/peerj-cs.777An ontology-based approach to the analysis of the acid-base state of patients at operative measuresMan Tianxing0Mikhail Lushnov1Dmitry I. Ignatov2Yulia Alexandrovna Shichkina3Natalia Alexandrovna Zhukova4Alexander Ivanovich Vodyaho5ITMO University, Saint Petersburg, RussiaAlmazov National Medical Research Centre, Saint. Petersburg, RussiaNational Research University Higher School of Economics, Moscow, RussiaSt. Petersburg State Electrotechnical University “LETI”, Saint Petersburg, RussiaSt. Petersburg State Electrotechnical University “LETI”, Saint Petersburg, RussiaSt. Petersburg State Electrotechnical University “LETI”, Saint Petersburg, RussiaResearchers working in various domains are focusing on extracting information from data sets by data mining techniques. However, data mining is a complicated task, including multiple complex processes, so that it is unfriendly to non-computer researchers. Due to the lack of experience, they cannot design suitable workflows that lead to satisfactory results. This article proposes an ontology-based approach to help users choose appropriate data mining techniques for analyzing domain data. By merging with domain ontology and extracting the corresponding sub-ontology based on the task requirements, an ontology oriented to a specific domain is generated that can be used for algorithm selection. Users can query for suitable algorithms according to the current data characteristics and task requirements step by step. We build a workflow to analyze the Acid-Base State of patients at operative measures based on the proposed approach and obtain appropriate conclusions.https://peerj.com/articles/cs-777.pdfData miningAcid-base stateOntologySemantic meta mining |
| spellingShingle | Man Tianxing Mikhail Lushnov Dmitry I. Ignatov Yulia Alexandrovna Shichkina Natalia Alexandrovna Zhukova Alexander Ivanovich Vodyaho An ontology-based approach to the analysis of the acid-base state of patients at operative measures PeerJ Computer Science Data mining Acid-base state Ontology Semantic meta mining |
| title | An ontology-based approach to the analysis of the acid-base state of patients at operative measures |
| title_full | An ontology-based approach to the analysis of the acid-base state of patients at operative measures |
| title_fullStr | An ontology-based approach to the analysis of the acid-base state of patients at operative measures |
| title_full_unstemmed | An ontology-based approach to the analysis of the acid-base state of patients at operative measures |
| title_short | An ontology-based approach to the analysis of the acid-base state of patients at operative measures |
| title_sort | ontology based approach to the analysis of the acid base state of patients at operative measures |
| topic | Data mining Acid-base state Ontology Semantic meta mining |
| url | https://peerj.com/articles/cs-777.pdf |
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