Some novel distance measures between dual hesitant fuzzy sets and their application in medical diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22960
Abstract: A dual hesitant fuzzy set (DHFS) describes the uncertainty in the real world by using the membership degree and nonmembership degree. It can collect fuzzy information comprehensively and apply them into decision‐making tasks efficiently. In… read more here.
Keywords: medical diagnosis; novel distance; distance measures; distance ... See more keywords
Discriminative locally linear mapping for medical diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7064-4
Abstract: Medical diagnosis based on machine learning has received growing interest in recent years. However, traditional classification algorithms often fail to appropriately deal with medical datasets because of their high dimensionality. Manifold learning is a branch… read more here.
Keywords: discriminative locally; linear mapping; medical diagnosis; mapping medical ... See more keywords
A Novel Clustering Algorithm in a Neutrosophic Recommender System for Medical Diagnosis
Sign Up to like & getrecommendations! Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9462-8
Abstract: Decision-making processes have been extensively used in artificial intelligence and cognitive sciences to explain and improve individual and social perception. As one of the most typical decision-making problems, medical diagnosis is used to analyze the… read more here.
Keywords: system; neutrosophic recommender; recommender; novel clustering ... See more keywords
Recent advances on TMDCs for medical diagnosis.
Sign Up to like & getrecommendations! Published in 2020 at "Biomaterials"
DOI: 10.1016/j.biomaterials.2020.120471
Abstract: Transition 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… read more here.
Keywords: diagnosis; medical diagnosis; recent advances; advances tmdcs ... See more keywords
Patenting medical diagnosis methods in Europe: Stanford University and time-lapse microscopy.
Sign Up to like & getrecommendations! Published in 2017 at "Reproductive biomedicine online"
DOI: 10.1016/j.rbmo.2016.10.014
Abstract: In 2013, a European Patent for the technique of time-lapse microscopy was granted by the European Patent Office (EPO) to Stanford University and was subsequently opposed by Unisense FertiliTech A/S and by the European Society… read more here.
Keywords: microscopy; medical diagnosis; stanford; stanford university ... See more keywords
Developed cosine similarity measure on belief function theory: An application in medical diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1782935
Abstract: Abstract In this study, we consider a new aspect of belief function or Dempster-Shafer theory to define a belief set and cosine similarity measure between two belief sets under uncertainty. For this purpose, firstly, the… read more here.
Keywords: cosine similarity; belief; similarity measure; medical diagnosis ... See more keywords
Confidence Level Aggregation Operators Based on Intuitionistic Fuzzy Rough Sets With Application in Medical Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3236410
Abstract: In recent days, due to the complexities of different diseases of similar types, it becomes very difficult to diagnose an accurate type of disease, and so medical diagnosis becomes a difficult task for the experts… read more here.
Keywords: intuitionistic fuzzy; aggregation operators; fuzzy rough; medical diagnosis ... See more keywords
Privacy-Preserving Multi-Class Support Vector Machine Model on Medical Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3157592
Abstract: With the rapid development of machine learning in the medical cloud system, cloud-assisted medical computing provides a concrete platform for remote rapid medical diagnosis services. Support vector machine (SVM), as one of the important algorithms… read more here.
Keywords: medical diagnosis; machine; diagnosis; support vector ... See more keywords
Achieving Efficient and Privacy-Preserving Dynamic Skyline Query in Online Medical Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3117933
Abstract: Wireless body area network (WBAN) and big data techniques indubitably enable the online medical diagnosis system to be more practical. In the system, to make a more accurate diagnosis, doctors wish to obtain some archived… read more here.
Keywords: skyline query; medical diagnosis; dynamic skyline; online medical ... See more keywords
Evidence supporting dual‐process theory of medical diagnosis: a functional near‐infrared spectroscopy study
Sign Up to like & getrecommendations! Published in 2019 at "Medical Education"
DOI: 10.1111/medu.13681
Abstract: The objective of this study was to determine the extent to which the dual‐process theory of medical diagnosis enjoys neuroscientific support. To that end, the study explored whether neurological correlates of system‐2 thinking could be… read more here.
Keywords: medical diagnosis; theory medical; study; dual process ... See more keywords
Prevalence of self-reported lifetime medical diagnosis of depression in Brazil: analysis of data from the 2019 Brazilian National Health Survey
Sign Up to like & getrecommendations! Published in 2022 at "BMJ Open"
DOI: 10.1136/bmjopen-2022-063902
Abstract: Objectives To assess the prevalence of and factors associated with the lifetime medical diagnosis of depression in Brazil. Design Population-based, cross-sectional study. Setting Analysis of data from the 2019 Brazilian National Health Survey. Participants 90 846… read more here.
Keywords: medical diagnosis; diagnosis; prevalence; self reported ... See more keywords