Ontology for Symptomatic Treatment of Multiple Sclerosis
Objectives Symptomatic treatment is an essential component in the overall treatment of multiple sclerosis (MS). However, knowledge in this regard is confusing and scattered. Physicians also have challenges in choosing symptomatic treatment based on the patient’s condition. To share, update, and reus...
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| Format: | Article |
| Language: | English |
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The Korean Society of Medical Informatics
2022-10-01
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| Series: | Healthcare Informatics Research |
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| Online Access: | http://www.e-hir.org/upload/pdf/hir-2022-28-4-332.pdf |
| _version_ | 1811317157523357696 |
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| author | Misagh Zahiri Esfahani Maryam Ahmadi Iman Adibi |
| author_facet | Misagh Zahiri Esfahani Maryam Ahmadi Iman Adibi |
| author_sort | Misagh Zahiri Esfahani |
| collection | DOAJ |
| description | Objectives Symptomatic treatment is an essential component in the overall treatment of multiple sclerosis (MS). However, knowledge in this regard is confusing and scattered. Physicians also have challenges in choosing symptomatic treatment based on the patient’s condition. To share, update, and reuse this knowledge, the aim of this study was to provide an ontology for MS symptomatic treatment. Methods The Symptomatic Treatment of Multiple Sclerosis Ontology (STMSO) was developed according to Ontology Development 101 and a guideline for developing good ontologies in the biomedical domain. We obtained knowledge and rules through a systematic review and entered this knowledge in the form of classes and subclasses in the ontology. We then mapped the ontology using the Basic Formal Ontology (BFO) and Ontology for General Medical Sciences (OGMS) as reference ontologies. The ontology was built using Protégé Editor in the Web Ontology Language format. Finally, an evaluation was done by experts using criterion-based approaches in terms of accuracy, clarity, consistency, and completeness. Results The knowledge extraction phase identified 110 articles related to the ontology in the form of 626 classes, 40 object properties, and 139 rules. Five general classes included “patient,” “symptoms,” “pharmacological treatment,” “treatment plan,” and “measurement index.” The evaluation in terms of standards for biomedical ontology showed that STMSO was accurate, clear, consistent, and complete. Conclusions STMSO is the first comprehensive semantic representation of the symptomatic treatment of MS and provides a major step toward the development of intelligent clinical decision support systems for symptomatic MS treatment. |
| first_indexed | 2024-04-13T12:03:08Z |
| format | Article |
| id | doaj.art-ce20e3183c9e48ef8ad5814696b5fece |
| institution | Directory Open Access Journal |
| issn | 2093-3681 2093-369X |
| language | English |
| last_indexed | 2024-04-13T12:03:08Z |
| publishDate | 2022-10-01 |
| publisher | The Korean Society of Medical Informatics |
| record_format | Article |
| series | Healthcare Informatics Research |
| spelling | doaj.art-ce20e3183c9e48ef8ad5814696b5fece2022-12-22T02:47:44ZengThe Korean Society of Medical InformaticsHealthcare Informatics Research2093-36812093-369X2022-10-0128433234210.4258/hir.2022.28.4.3321136Ontology for Symptomatic Treatment of Multiple SclerosisMisagh Zahiri Esfahani0Maryam Ahmadi1Iman Adibi2 Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IranObjectives Symptomatic treatment is an essential component in the overall treatment of multiple sclerosis (MS). However, knowledge in this regard is confusing and scattered. Physicians also have challenges in choosing symptomatic treatment based on the patient’s condition. To share, update, and reuse this knowledge, the aim of this study was to provide an ontology for MS symptomatic treatment. Methods The Symptomatic Treatment of Multiple Sclerosis Ontology (STMSO) was developed according to Ontology Development 101 and a guideline for developing good ontologies in the biomedical domain. We obtained knowledge and rules through a systematic review and entered this knowledge in the form of classes and subclasses in the ontology. We then mapped the ontology using the Basic Formal Ontology (BFO) and Ontology for General Medical Sciences (OGMS) as reference ontologies. The ontology was built using Protégé Editor in the Web Ontology Language format. Finally, an evaluation was done by experts using criterion-based approaches in terms of accuracy, clarity, consistency, and completeness. Results The knowledge extraction phase identified 110 articles related to the ontology in the form of 626 classes, 40 object properties, and 139 rules. Five general classes included “patient,” “symptoms,” “pharmacological treatment,” “treatment plan,” and “measurement index.” The evaluation in terms of standards for biomedical ontology showed that STMSO was accurate, clear, consistent, and complete. Conclusions STMSO is the first comprehensive semantic representation of the symptomatic treatment of MS and provides a major step toward the development of intelligent clinical decision support systems for symptomatic MS treatment.http://www.e-hir.org/upload/pdf/hir-2022-28-4-332.pdfontologymultiple sclerosisclinical decision support systemsymptomatic treatmentknowledge reuse |
| spellingShingle | Misagh Zahiri Esfahani Maryam Ahmadi Iman Adibi Ontology for Symptomatic Treatment of Multiple Sclerosis Healthcare Informatics Research ontology multiple sclerosis clinical decision support system symptomatic treatment knowledge reuse |
| title | Ontology for Symptomatic Treatment of Multiple Sclerosis |
| title_full | Ontology for Symptomatic Treatment of Multiple Sclerosis |
| title_fullStr | Ontology for Symptomatic Treatment of Multiple Sclerosis |
| title_full_unstemmed | Ontology for Symptomatic Treatment of Multiple Sclerosis |
| title_short | Ontology for Symptomatic Treatment of Multiple Sclerosis |
| title_sort | ontology for symptomatic treatment of multiple sclerosis |
| topic | ontology multiple sclerosis clinical decision support system symptomatic treatment knowledge reuse |
| url | http://www.e-hir.org/upload/pdf/hir-2022-28-4-332.pdf |
| work_keys_str_mv | AT misaghzahiriesfahani ontologyforsymptomatictreatmentofmultiplesclerosis AT maryamahmadi ontologyforsymptomatictreatmentofmultiplesclerosis AT imanadibi ontologyforsymptomatictreatmentofmultiplesclerosis |