Fuzzy systems in medicine
نویسنده
چکیده
allows the user to define rules on contraindication alerts, drug interaction warnings, diagnostic and In the near future, every medical intreatment recommendations, etc. formation system wiil be equipped with a function that provides knowledge-based decision support. Data-driven knowledgebased decision support consists, in the first place, of a medical data-to-concept conversion step and, second, a knowledge base containing medical relationships from medical concepts to decisions. Both, concept and relationship modeling medicine can be done by using fuzzy sets, fuzzy relationships, and fuzzy decision making algorithms to conserve the inherent fuzziness of medical concepts and medical relationships. Examples of the application of type-n hzzy sets to model medical concepts and of fuzzy logic, fuzzy decision graphs, fuzzy control, and fuzzy automata in medical diagnosis, interpretative analysis of test results, device control, and data monitoring are given in the present study.
منابع مشابه
Intrathoracic Airway Tree Segmentation from CT Images Using a Fuzzy Connectivity Method
Introduction: Virtual bronchoscopy is a reliable and efficient diagnostic method for primary symptoms of lung cancer. The segmentation of airways from CT images is a critical step for numerous virtual bronchoscopy applications. Materials and Methods: To overcome the limitations of the fuzzy connectedness method, the proposed technique, called fuzzy connectivity - fuzzy C-mean (FC-FCM), utilized...
متن کاملFuzzy logic and its applications in medicine
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated Western and Eastern medicine, the optimal selection of medical treatments integrating...
متن کاملFrom vagueness in medical thought to the foundations of fuzzy reasoning in medical diagnosis
OBJECTIVE This article delineates a relatively unknown path in the history of medical philosophy and medical diagnosis. It is concerned with the phenomenon of vagueness in the physician's "style of thinking" and with the use of fuzzy sets, systems, and relations with a view to create a model of such reasoning when physicians make a diagnosis. It represents specific features of medical ways of t...
متن کاملA Decision Support System Model for Diagnosing Tropical Diseases Using Fuzzy Logic
Malaria, Typhoid, Tuberculosis, Sexually Transmitted Diseases, Urinary Tract Infection, Yellow fever, Hepatitis-B, Leprosy and Chicken Pox are the existing tropical diseases that are considered in this work. In sub-Saharan Africa, the application of fuzzy logic to the diagnosis of these diseases is still very sparse and in some places practically nonexistent. Fuzzy set theory and fuzzy logic ar...
متن کاملA survey of fuzzy logic monitoring and control utilisation in medicine
Intelligent systems have appeared in many technical areas, such as consumer electronics, robotics and industrial control systems. Many of these intelligent systems are based on fuzzy control strategies which describe complex systems mathematical models in terms of linguistic rules. Since the 1980s new techniques have appeared from which fuzzy logic has been applied extensively in medical system...
متن کاملFuzzy Medical Expert Systems for Clinical Medicine Learning Through the Fuzzy Neural Network
Computer programs are playing key role in Medicine not only in Medical Information Systems but also in Medical Diagnosis and Surgery. Artificial Intelligence in Medicine particularly Expert Systems are used for diagnosis and robotics are used in surgery. The Robotics will assist the surgeon in Surgery. The Medical Expert Systems will assist the physician in Diagnosis. The information available ...
متن کامل