Clinical decision support systems for triage in the emergency department using intelligent systems: a review
M Fernandes, SM Vieira, F Leite, C Palos… - Artificial Intelligence in …, 2020 - Elsevier
Abstract Motivation Emergency Departments'(ED) modern triage systems implemented
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
worldwide are solely based upon medical knowledge and experience. This is a limitation of …
Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …
benefit, as it provides significant information about the lesion, which can be of pertinence for …
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
The main objective of the present study was to produce a novel ensemble data mining
technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by …
technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by …
An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity
The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …
ANFIS: adaptive-network-based fuzzy inference system
JSR Jang - IEEE transactions on systems, man, and …, 1993 - ieeexplore.ieee.org
The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy
inference system) is presented, which is a fuzzy inference system implemented in the …
inference system) is presented, which is a fuzzy inference system implemented in the …
Fuzzy logic, neural networks, and soft computing
LA Zadeh - Fuzzy sets, fuzzy logic, and fuzzy systems: selected …, 1996 - World Scientific
In retrospect, the year 1990 may well be viewed as the beginning of a new trend in the
design of household appliances, consumer electronics, cameras, and other types of widely …
design of household appliances, consumer electronics, cameras, and other types of widely …
Fuzzy logic systems for engineering: a tutorial
JM Mendel - Proceedings of the IEEE, 1995 - ieeexplore.ieee.org
A fuzzy logic system (FLS) is unique in that it is able to simultaneously handle numerical
data and linguistic knowledge. It is a nonlinear mapping of an input data (feature) vector into …
data and linguistic knowledge. It is a nonlinear mapping of an input data (feature) vector into …
Neuro-fuzzy modeling and control
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
[图书][B] Introduction to fuzzy logic using MATLAB
The world we live in is becoming ever more reliant on the use of electronics and computers
to control the behavior of real-world resources. For example, an increasing amount of …
to control the behavior of real-world resources. For example, an increasing amount of …
[图书][B] Fuzzy modeling for control
R Babuška - 2012 - books.google.com
Rule-based fuzzy modeling has been recognised as a powerful technique for the modeling
of partly-known nonlinear systems. Fuzzy models can effectively integrate information from …
of partly-known nonlinear systems. Fuzzy models can effectively integrate information from …