Medical Diagnosis
A STUDY ON MACHINE LEARNING ALGORITHM IN MEDICAL DIAGNOSIS
... in medical diagnosis for making critical decisions, as the data in the medical field is huge and the accuracy of the diagnosis depends on considering the huge data of the ...
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A Survey: Virtual Reality Model for Medical Diagnosis
... of medical diagnosis is taking this technology to another ...In medical applications virtual reality can be utilized for better picture control, enhanced picture understanding, enhanced quantitative ...
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Neutrosophic Refined Sets in Medical Diagnosis
... In this section, we present an application of neutrosophic refined set in medical diagnosis. In a given pathology, suppose S is a set of symptoms, D is a set of diseases and P is a set of patients and let ...
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A System Study on Melanoma Skin Cancer in Medical Diagnosis
... Automatic diagnosis of skin cancer is possible and doable through the use of well formed order way of ...of medical diagnosis , this work-place takes care of to make ready knowledge in in connection ...
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Application of Fuzzy Matrices in Medical Diagnosis
... Meenakshi and Kaliraja [4] have extended Sanchez’s approach for medical diagnosis using representation of a interval valued fuzzy matrix. They have also introduced the arithmetic mean matrix of an interval ...
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Fuzzy Expert Systems (FES) for Medical Diagnosis
... in medical diagnosis, ...the medical field, logical thinking of medical practitioners play significant role in making the diagnosis ...in medical field in future and such systems ...
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An Application of Fuzzy Matrices in Medical Diagnosis
... for medical diagnosis which is also an extension of Sanchez's approach with modified procedure using triangular fuzzy number matrices and its new membership ...
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Intuitionistic Fuzzy Set with New Operators in Medical Diagnosis
... for Medical diagnosis with the symptoms of disease using IFS with new ...of medical diagnosis, there is a fair chance of the existence of a non-zero hesitation part at each moment of ...
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An Approach to Management of Health Care and Medical Diagnosis Using of a Hybrid Disease Diagnosis System
... cancer diagnosis just by computer-aided detection ...of medical diagnosis process, a common framework of operating software is ...in diagnosis of disease and human body systems information ...
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Medical Diagnosis and Visual Perception - An Evaluation of Usability
... to Diagnosis” [SG10] at SIGGRAPH 2010, panellist Cindy Grimm challenged participants and co-speakers by asking to prove the usefulness of their graphics products for medical ...specific diagnosis is ...
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Convolutional Neural Network in Medical Diagnosis
... with increasing the speed of the procedure as compared to other classical techniques. In this paper, we highlighted the various state of the art CNN architectures as well as their applications in medical image ...
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A Hesitant Fuzzy Based Medical Diagnosis Problem
... Abstract. In this paper, we refine the definition of weighted hesitant fuzzy set (WHFS), the concept that allows the membership of a given element is defined in terms of several possible values together with their ...
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Medical Diagnosis System Using Ripplet Transform
... image. Medical image fusion using PCNN and modified spatial frequency based on the ripplet transform type ...source medical picture are divide by discrete RT(DRT), the low frequency sub bands (LFSs) are ...
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Fuzzy Expert Systems (FES) for Medical Diagnosis
... in medical diagnosis [4]. The scope for applications in diagnosis, therapy, image analysis, pattern recognition, patient monitoring, data analysis, etc have been reviewed ...in medical fields ...
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A Framework for Medical Diagnosis using Hybrid Reasoning
... for diagnosis of ...for diagnosis of various ...of diagnosis was quite ...of diagnosis according to the cases already reported was not ...for diagnosis of diseases like Diabetes ...
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Intuitionistic Fuzzy Multisets in Medical Diagnosis
... As medical diagnosis contains lots of uncertainties and increased volume of information available to physicians from new medical technologies, the process of classifying different sets of symptoms ...
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ACO Based Feature Selection : An Application for Medical Diagnosis
... Medical Diagnosis is a system for the examination of a man's symptoms based on ...The medical dataset contains immense number of immaterial and repetitive ...the medical diagnosis by ...
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Type-2 Fuzzy Set Theory in Medical Diagnosis
... physician medical knowledge be represented as type-2 fuzzy relation showing the association between symptoms and ...Therefore, medical diagnosis on the basis of type -2 fuzzy sets involves ...
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A Survey on Hybrid Evolutionary Classification Techniques for Medical Diagnosis
... SVMs can be used to solve various real world problems. Lots of work by using SVM in research has been done by the researchers. Sharifah Hafizah et al. [8] proposed a model which used the Artificial Neural Network and ...
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Multiple Classifiers System for Medical Diagnosis
... neural network, K-NN from Case based Reasoning and modified towing splitting rule in Classification Tree ) in the market, but the main problem is not a single machine learning algorithm has all the expected features for ...
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