Using the fuzzy cognitive map in designing a decision support system in diabetes insipidus
Purpose: Throughout the history of human life, diseases have been considered one of the most important threats to humans; which have destructive and irreparable effects on people's lives if they are not diagnosed or diagnosed correctly and on time. The existence of multiple parameters in some p...
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| Format: | Article |
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Ayandegan Institute of Higher Education, Tonekabon,
2024-11-01
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| Series: | مدیریت نوآوری و راهبردهای عملیاتی |
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| Online Access: | http://www.journal-imos.ir/article_206016_5f030f064c47ae2e8a58151e1ff523e5.pdf |
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| author | fatemeh haghani alireza shahraki Mohebali Rahdar |
| author_facet | fatemeh haghani alireza shahraki Mohebali Rahdar |
| author_sort | fatemeh haghani |
| collection | DOAJ |
| description | Purpose: Throughout the history of human life, diseases have been considered one of the most important threats to humans; which have destructive and irreparable effects on people's lives if they are not diagnosed or diagnosed correctly and on time. The existence of multiple parameters in some problems causes the complexity of the investigated subject; For this reason, in the last few decades, computer diagnosis and decision-making tools with the aim of helping the doctor in making decisions have been considered as a decision support system. Because the initial symptoms of diabetes insipidus are very similar to diabetes mellitus and the differential diagnosis of different types of diabetes insipidus is important, this disease was investigated in the current research.Methodology: In this research, based on library studies and using the experiences and opinions of experts, the factors of central and renal diabetes insipidus were examined and determined; then, using Spss, FCMapper, and Pajek software, fuzzy cognitive maps were analyzed in order to investigate factors and relationships between them.Findings: The results of the analysis of fuzzy cognitive maps in central diabetes insipidus, the factors that improve urine concentration after taking vasopressin and urine volume > 40 ml/kg and osmolarity of 300 mosom/l, and in renal diabetes insipidus, the factors of kidney failure Synthetic vasopressin use (no change in urine concentration) and hyperuria were identified as the most influential and important variables that should be given special attention.Originality/Value: So far, no definitive treatment has been discovered for this disease, and if a person is infected with it, it will affect him for the rest of his life. But with a faster and timely diagnosis, it can be prevented from progressing and the damage of lack of treatment, which can be irreparable. For the first time, the identification, ranking and impact of central and renal diabetes insipidus disease symptoms have been investigated using fuzzy cognitive maps and Spss, FCMapper and Pajek software. |
| format | Article |
| id | doaj-art-b9aead8213e04288bec0fb72b820ab4d |
| institution | Kabale University |
| issn | 2783-1345 2717-4581 |
| language | fas |
| publishDate | 2024-11-01 |
| publisher | Ayandegan Institute of Higher Education, Tonekabon, |
| record_format | Article |
| series | مدیریت نوآوری و راهبردهای عملیاتی |
| spelling | doaj-art-b9aead8213e04288bec0fb72b820ab4d2025-01-30T14:56:50ZfasAyandegan Institute of Higher Education, Tonekabon,مدیریت نوآوری و راهبردهای عملیاتی2783-13452717-45812024-11-015333134710.22105/imos.2024.465075.1364206016Using the fuzzy cognitive map in designing a decision support system in diabetes insipidusfatemeh haghani0alireza shahraki1Mohebali Rahdar2Department of Industrial Engineering, University of Sistan and Baluchestan, Zahedan, Iran.Department of Industrial Engineering, University of Sistan and Baluchestan, Zahedan, Iran.Department of Industrial Engineering, University of Sistan and Baluchestan, Zahedan, Iran.Purpose: Throughout the history of human life, diseases have been considered one of the most important threats to humans; which have destructive and irreparable effects on people's lives if they are not diagnosed or diagnosed correctly and on time. The existence of multiple parameters in some problems causes the complexity of the investigated subject; For this reason, in the last few decades, computer diagnosis and decision-making tools with the aim of helping the doctor in making decisions have been considered as a decision support system. Because the initial symptoms of diabetes insipidus are very similar to diabetes mellitus and the differential diagnosis of different types of diabetes insipidus is important, this disease was investigated in the current research.Methodology: In this research, based on library studies and using the experiences and opinions of experts, the factors of central and renal diabetes insipidus were examined and determined; then, using Spss, FCMapper, and Pajek software, fuzzy cognitive maps were analyzed in order to investigate factors and relationships between them.Findings: The results of the analysis of fuzzy cognitive maps in central diabetes insipidus, the factors that improve urine concentration after taking vasopressin and urine volume > 40 ml/kg and osmolarity of 300 mosom/l, and in renal diabetes insipidus, the factors of kidney failure Synthetic vasopressin use (no change in urine concentration) and hyperuria were identified as the most influential and important variables that should be given special attention.Originality/Value: So far, no definitive treatment has been discovered for this disease, and if a person is infected with it, it will affect him for the rest of his life. But with a faster and timely diagnosis, it can be prevented from progressing and the damage of lack of treatment, which can be irreparable. For the first time, the identification, ranking and impact of central and renal diabetes insipidus disease symptoms have been investigated using fuzzy cognitive maps and Spss, FCMapper and Pajek software.http://www.journal-imos.ir/article_206016_5f030f064c47ae2e8a58151e1ff523e5.pdfcentral diabetes insipidus diseaserenal diabetes insipidusdecision support systemfuzzy cognitive map |
| spellingShingle | fatemeh haghani alireza shahraki Mohebali Rahdar Using the fuzzy cognitive map in designing a decision support system in diabetes insipidus مدیریت نوآوری و راهبردهای عملیاتی central diabetes insipidus disease renal diabetes insipidus decision support system fuzzy cognitive map |
| title | Using the fuzzy cognitive map in designing a decision support system in diabetes insipidus |
| title_full | Using the fuzzy cognitive map in designing a decision support system in diabetes insipidus |
| title_fullStr | Using the fuzzy cognitive map in designing a decision support system in diabetes insipidus |
| title_full_unstemmed | Using the fuzzy cognitive map in designing a decision support system in diabetes insipidus |
| title_short | Using the fuzzy cognitive map in designing a decision support system in diabetes insipidus |
| title_sort | using the fuzzy cognitive map in designing a decision support system in diabetes insipidus |
| topic | central diabetes insipidus disease renal diabetes insipidus decision support system fuzzy cognitive map |
| url | http://www.journal-imos.ir/article_206016_5f030f064c47ae2e8a58151e1ff523e5.pdf |
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