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Lightweight Privacy-preserving Medical Diagnosis in Edge Computing
World Congress on Services, 2021In the era of machine learning, mobile users are able to submit their symptoms to doctors at any time, anywhere for personal diagnosis. It is prevalent to exploit edge computing for real-time diagnosis services in order to reduce transmission latency ...
Zhuo Ma +6 more
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Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis
Applied Soft Computing, 2020Support vector machine (SVM) is a widely used pattern classification method that its classification accuracy is greatly influenced by both kernel parameter setting and feature selection.
Mingjing Wang, Huiling Chen
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Novel spherical fuzzy distance and similarity measures and their applications to medical diagnosis
Expert systems with applications, 2021Spherical fuzzy sets (SFSs) have recently become more popular in various fields. It was proposed as a generalization of picture fuzzy sets and Pythagorean fuzzy sets in order to deal with uncertainty and fuzziness information.
Yaser Donyatalab +5 more
semanticscholar +1 more source
Biomachines for Medical Diagnosis
Advanced Materials Letters, 2020Current evolutions in medical practices induce a change of paradigm with the convergence of diagnosis and therapy, going to precision medicine and “theranostics”. One can observe the new role of biomarkers in biomedical and therapeutic applications, for instance in the development of molecular multiplex biosensors (nucleic acid, proteins, and ...
Francisco Santos Schneider +7 more
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Computers & industrial engineering, 2020
For the imbalanced classification problems, most traditional classification models only focus on searching for an excellent classifier to maximize classification accuracy with the fixed misclassification cost, not take into consideration that ...
Dan Gan +4 more
semanticscholar +1 more source
For the imbalanced classification problems, most traditional classification models only focus on searching for an excellent classifier to maximize classification accuracy with the fixed misclassification cost, not take into consideration that ...
Dan Gan +4 more
semanticscholar +1 more source
Recent advances on TMDCs for medical diagnosis.
Biomaterials, 2020Transition metal dichalcogenides (TMDCs), such as MoS2 and WS2, have attracted much attention in biosensing and bioimaging due to its excellent stability, biocompatibility, high specific surface area, and wide varieties. In this review, we overviewed the
S. Meng +6 more
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Behavioral Science, 2007
The great variety of ills that man is heir to and the tremendous number of symptoms associated with such diseases make the task of medical diagnosis more speculative than scientific. There is an expanding interest in the possibilities of using computers to help make medical diagnoses more quickly and accurately, but here again, the vastness of the task
J E, OVERALL, C M, WILLIAMS
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The great variety of ills that man is heir to and the tremendous number of symptoms associated with such diseases make the task of medical diagnosis more speculative than scientific. There is an expanding interest in the possibilities of using computers to help make medical diagnoses more quickly and accurately, but here again, the vastness of the task
J E, OVERALL, C M, WILLIAMS
openaire +2 more sources
Ontology and medical diagnosis
Informatics for Health and Social Care, 2011Ontology and associated generic tools are appropriate for knowledge modeling and reasoning, but most of the time, disease definitions in existing description logic (DL) ontology are not sufficient to classify patient's characteristics under a particular disease because they do not formalize operational definitions of diseases (association of signs and ...
Valérie, Bertaud-Gounot +2 more
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Divergence measure of Pythagorean fuzzy sets and its application in medical diagnosis
Applied Soft Computing, 2019The Pythagorean fuzzy set (PFS) which is an extension of intuitionistic fuzzy set, is more capable of expressing and handling the uncertainty under uncertain environments, so that it was broadly applied in a variety of fields.
Fuyuan Xiao, Weiping Ding
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Medical Malpractice in Diagnosis
New England Journal of Medicine, 1969IT is commonly said that physicians cannot be held liable for "mere errors in professional judgment." This is taken to mean that there is no liability for an erroneous diagnosis.
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