Editing Fuzzy logic (section)

=== Medical decision making===

Fuzzy logic is an important concept in [[Clinical decision support system|medical decision making]]. Since medical and healthcare data can be subjective or fuzzy, applications in this domain have a great potential to benefit a lot by using fuzzy-logic-based approaches.

Fuzzy logic can be used in many different aspects within the medical decision making framework. Such aspects include<ref>{{cite journal |author1= Lin, K. P.|author2= Chang, H. F.|author3= Chen, T. L.|author4= Lu, Y. M.|author5 = Wang, C. H. | title = Intuitionistic fuzzy C-regression by using least squares support vector regression. | journal = Expert Systems with Applications | date = 2016 | volume = 64 |pages=296–304| doi = 10.1016/j.eswa.2016.07.040 }}</ref><ref>{{cite journal |author1= Deng, H.|author2= Deng, W.|author3= Sun, X.|author4= Ye, C.|author5= Zhou, X.| title = Adaptive intuitionistic fuzzy enhancement of brain tumor MR images | journal = Scientific Reports | date = 2016 | volume=6 | pages=35760 | doi=10.1038/srep35760 | pmid = 27786240 | pmc = 5082372 | doi-access=free| bibcode = 2016NatSR...635760D }}</ref><ref>{{cite journal |author=Vlachos, I. K.|author2= Sergiadis, G. D.| title = Intuitionistic fuzzy information–applications to pattern recognition. | journal = Pattern Recognition Letters | date = 2007 | volume= 28 | issue = 2 | pages= 197–206| doi = 10.1016/j.patrec.2006.07.004 | bibcode = 2007PaReL..28..197V }}</ref>{{clarify|reason=please summarise these refs- several are on a subscription basis|date=February 2022}} in [[medical image analysis]], biomedical signal analysis, [[image segmentation|segmentation of images]]<ref name=wounds>{{Cite book|last1=Gonzalez-Hidalgo|first1=Manuel|last2=Munar|first2=Marc|last3=Bibiloni|first3=Pedro|last4=Moya-Alcover|first4=Gabriel|last5=Craus-Miguel|first5=Andrea|last6=Segura-Sampedro|first6=Juan Jose|title=2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) |chapter=Detection of infected wounds in abdominal surgery images using fuzzy logic and fuzzy sets |date=October 2019|location=Barcelona, Spain|publisher=IEEE|pages=99–106|doi=10.1109/WiMOB.2019.8923289|isbn=978-1-7281-3316-4|s2cid=208880793}}</ref> or signals, and [[feature extraction]] / selection of images<ref name=wounds/> or signals.<ref>{{cite journal | author = Das, S.|author2= Guha, D.|author3= Dutta, B.| title = Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic. | journal = Applied Intelligence | date = 2016 | volume= 45 | issue = 3 | pages= 850–867| doi = 10.1007/s10489-016-0792-0 | s2cid = 14590409 }}</ref>

The biggest question in this application area is how much useful information can be derived when using fuzzy logic. A major challenge is how to derive the required fuzzy data. This is even more challenging when one has to elicit such data from humans (usually, patients). As has been said {{blockquote|text="The envelope of what can be achieved and what cannot be achieved in medical diagnosis, ironically, is itself a fuzzy one" |source=Seven Challenges, 2019.<ref name=YT/>}} How to elicit fuzzy data, and how to validate the accuracy of the data is still an ongoing effort, strongly related to the application of fuzzy logic. The problem of assessing the quality of fuzzy data is a difficult one. This is why fuzzy logic is a highly promising possibility within the medical decision making application area but still requires more research to achieve its full potential.<ref name=YT>{{Cite journal|last1=Yanase|first1=Juri|last2=Triantaphyllou|first2=Evangelos|date=2019|title=The Seven Key Challenges for the Future of Computer-Aided Diagnosis in Medicine|journal=International Journal of Medical Informatics|volume=129|pages=413–422|doi=10.1016/j.ijmedinf.2019.06.017|pmid=31445285|s2cid=198287435}}</ref> 

==== Image-based computer-aided diagnosis ====
One of the common application areas of fuzzy logic is image-based [[computer-aided diagnosis]] in medicine.<ref>{{Cite journal|last1=Yanase|first1=Juri|last2=Triantaphyllou|first2=Evangelos|date=2019|title=A Systematic Survey of Computer-Aided Diagnosis in Medicine: Past and Present Developments|journal=Expert Systems with Applications|volume=138|pages=112821|doi=10.1016/j.eswa.2019.112821|s2cid=199019309}}</ref> Computer-aided diagnosis is a computerized set of inter-related tools that can be used to aid physicians in their diagnostic decision-making.