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 …

Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

S Pathan, KG Prabhu, PC Siddalingaswamy - … Signal Processing and …, 2018 - Elsevier
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 …

Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

W Chen, M Panahi, P Tsangaratos, H Shahabi, I Ilia… - Catena, 2019 - Elsevier
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 …

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity

DJ Armaghani, H Harandizadeh, E Momeni… - Artificial Intelligence …, 2022 - Springer
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 …

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 …

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 …

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 …

Neuro-fuzzy modeling and control

JSR Jang, CT Sun - Proceedings of the IEEE, 1995 - ieeexplore.ieee.org
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 …

[图书][B] Introduction to fuzzy logic using MATLAB

SN Sivanandam, S Sumathi, SN Deepa - 2007 - Springer
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 …

[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 …