Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study
Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers because they can capture intricate associations among variables and generate precise predictions. FCMs have demonstrated their utility in diverse medical applications, from disease diagnosis to treatment planning and...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/11/2/139 |
| _version_ | 1827344126292525056 |
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| author | Ioannis D. Apostolopoulos Nikolaos I. Papandrianos Nikolaos D. Papathanasiou Elpiniki I. Papageorgiou |
| author_facet | Ioannis D. Apostolopoulos Nikolaos I. Papandrianos Nikolaos D. Papathanasiou Elpiniki I. Papageorgiou |
| author_sort | Ioannis D. Apostolopoulos |
| collection | DOAJ |
| description | Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers because they can capture intricate associations among variables and generate precise predictions. FCMs have demonstrated their utility in diverse medical applications, from disease diagnosis to treatment planning and prognosis prediction. Their ability to model complex relationships between symptoms, biomarkers, risk factors, and treatments has enabled healthcare providers to make informed decisions, leading to better patient outcomes. This review article provides a thorough synopsis of using FCMs within the medical domain. A systematic examination of pertinent literature spanning the last two decades forms the basis of this overview, specifically delineating the diverse applications of FCMs in medical realms, including decision-making, diagnosis, prognosis, treatment optimisation, risk assessment, and pharmacovigilance. The limitations inherent in FCMs are also scrutinised, and avenues for potential future research and application are explored. |
| first_indexed | 2024-03-07T22:41:33Z |
| format | Article |
| id | doaj.art-44e594860639413299df542259561e16 |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-07T22:41:33Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-44e594860639413299df542259561e162024-02-23T15:07:55ZengMDPI AGBioengineering2306-53542024-01-0111213910.3390/bioengineering11020139Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review StudyIoannis D. Apostolopoulos0Nikolaos I. Papandrianos1Nikolaos D. Papathanasiou2Elpiniki I. Papageorgiou3Department of Energy Systems, University of Thessaly, Gaiopolis Campus, 41500 Larisa, GreeceDepartment of Energy Systems, University of Thessaly, Gaiopolis Campus, 41500 Larisa, GreeceDepartment of Nuclear Medicine, University Hospital of Patras, 26504 Rio, GreeceDepartment of Energy Systems, University of Thessaly, Gaiopolis Campus, 41500 Larisa, GreeceFuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers because they can capture intricate associations among variables and generate precise predictions. FCMs have demonstrated their utility in diverse medical applications, from disease diagnosis to treatment planning and prognosis prediction. Their ability to model complex relationships between symptoms, biomarkers, risk factors, and treatments has enabled healthcare providers to make informed decisions, leading to better patient outcomes. This review article provides a thorough synopsis of using FCMs within the medical domain. A systematic examination of pertinent literature spanning the last two decades forms the basis of this overview, specifically delineating the diverse applications of FCMs in medical realms, including decision-making, diagnosis, prognosis, treatment optimisation, risk assessment, and pharmacovigilance. The limitations inherent in FCMs are also scrutinised, and avenues for potential future research and application are explored.https://www.mdpi.com/2306-5354/11/2/139fuzzy cognitive mapsmedicinefuzzy logicexplainable artificial intelligence |
| spellingShingle | Ioannis D. Apostolopoulos Nikolaos I. Papandrianos Nikolaos D. Papathanasiou Elpiniki I. Papageorgiou Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study Bioengineering fuzzy cognitive maps medicine fuzzy logic explainable artificial intelligence |
| title | Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study |
| title_full | Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study |
| title_fullStr | Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study |
| title_full_unstemmed | Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study |
| title_short | Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study |
| title_sort | fuzzy cognitive map applications in medicine over the last two decades a review study |
| topic | fuzzy cognitive maps medicine fuzzy logic explainable artificial intelligence |
| url | https://www.mdpi.com/2306-5354/11/2/139 |
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