Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review

H Ahmadi, M Gholamzadeh, L Shahmoradi… - Computer Methods and …, 2018 - Elsevier
Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …

How artificial intelligence (AI) is used in aphasia rehabilitation: A sco** review

N Azevedo, E Kehayia, G Jarema, G Le Dorze… - Aphasiology, 2024 - Taylor & Francis
Background In recent years, artificial intelligence (AI) has become commonplace in our daily
lives, making its way into many different settings, including health and rehabilitation. While …

Modeling paradigms for medical diagnostic decision support: a survey and future directions

KB Wagholikar, V Sundararajan… - Journal of medical …, 2012 - Springer
Use of computer based decision tools to aid clinical decision making, has been a primary
goal of research in biomedical informatics. Research in the last five decades has led to the …

AI and aphasia in the digital age: A critical review

AJ Privitera, SHS Ng, APH Kong, BS Weekes - Brain Sciences, 2024 - mdpi.com
Aphasiology has a long and rich tradition of contributing to understanding how culture,
language, and social environment contribute to brain development and function. Recent …

A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position

J Sanz, A Fernández, H Bustince, F Herrera - International Journal of …, 2011 - Elsevier
Fuzzy Rule-Based Systems are appropriate tools to deal with classification problems due to
their good properties. However, they can suffer a lack of system accuracy as a result of the …

Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning

JA Sanz, A Fernández, H Bustince, F Herrera - Information Sciences, 2010 - Elsevier
Among the computational intelligence techniques employed to solve classification problems,
Fuzzy Rule-Based Classification Systems (FRBCSs) are a popular tool because of their …

Belief rule-based classification system: Extension of FRBCS in belief functions framework

L Jiao, Q Pan, T Denoeux, Y Liang, X Feng - Information Sciences, 2015 - Elsevier
Among the computational intelligence techniques employed to solve classification problems,
the fuzzy rule-based classification system (FRBCS) is a popular tool capable of building a …

Enhancing the classification of aphasia: a statistical analysis using connected speech

D Fromm, J Greenhouse, M Pudil, Y Shi… - Aphasiology, 2022 - Taylor & Francis
Background Large-shared databases and automated language analyses allow for the
application of new data analysis techniques that can shed new light on the connected …

[PDF][PDF] Fuzzy expert systems (FES) for medical diagnosis

SS Sikchi, S Sikchi, MS Ali - International Journal of Computer …, 2013 - tarjomehrooz.com
Fuzzy logic has proved to be the remarkable tool for building intelligent decision making
systems based on the expert's knowledge and observations. This paper reviews the trend in …

Usage of case-based reasoning, neural network and adaptive neuro-fuzzy inference system classification techniques in breast cancer dataset classification diagnosis

ML Huang, YH Hung, WM Lee, RK Li… - Journal of medical …, 2012 - Springer
Breast cancer is a common to females worldwide. Today, technological advancements in
cancer treatment innovations have increased the survival rates. Many theoretical and …