Clinical decision support system for liver fibrosis prediction in hepatitis patients: A case comparison of two soft computing techniques

S El-Sappagh, F Ali, A Ali, A Hendawi, FA Badria… - IEEE …, 2018 - ieeexplore.ieee.org
Diagnosis of deadly diseases, such as liver fibrosis, is very important. Clinical decision
support systems (CDSSs) based on patient's historical medical data and accurate AI …

Impact of metaheuristic iteration on artificial neural network structure in medical data

I Salman, ON Ucan, O Bayat, K Shaker - Processes, 2018 - mdpi.com
Medical data classification is an important factor in improving diagnosis and treatment and
can assist physicians in making decisions about serious diseases by collecting symptoms …

Fair: Fuzzy alarming index rule for privacy analysis in smartphone apps

M Hatamian, J Serna, K Rannenberg, B Igler - Trust, Privacy and Security …, 2017 - Springer
In this paper, we introduce an approach that aims at increasing individuals' privacy
awareness. We perform a privacy risk assessment of the smartphone applications (apps) …

Diagnosis of liver disease by computer-assisted imaging techniques: a literature review

BK Kalejahi, S Meshgini, S Danishvar… - Intelligent Data …, 2022 - content.iospress.com
Diagnosis of liver disease using computer-aided detection (CAD) systems is one of the most
efficient and cost-effective methods of medical image diagnosis. Accurate disease detection …

An ANFIS based MPPT controller for fuel cell powered induction motor drive

A Raj, P Lekhaj - 2018 international conference on smart grid …, 2018 - ieeexplore.ieee.org
In this paper a novel Adaptive network based fuzzy Inference system (ANFIS) based model
for voltage regulation of the three-phase inverter with environment friendly high efficiency …

HANN: a hybrid model for liver syndrome classification by feature assortment optimization

L Anand, SP Syed Ibrahim - Journal of medical systems, 2018 - Springer
Early detection of any sort of disease is mandatory for effective medical treatment. Medical
diagnosis relies heavily on Data Mining for automated disease classification and detection. It …

[PDF][PDF] Fuzzy Logic-Based System for Liver Fibrosis Disease.

T Alkhalifah, J Singla, F Alurise - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
The diagnosis of liver fibrosis (LF) is crucial as it is a deadly and life-threatening disease.
Artificial intelligence techniques aid doctors by using the previous data on health and …

An anfis-pso algorithm for predicting four grades of non-alcoholic fatty liver disease

SZ Goldar, AR Ghiasi… - … Congress on Human …, 2020 - ieeexplore.ieee.org
Non-Alcoholic Fatty Liver Disease is a kind of chronic disease which rigorous prediction is
quite difficult at early stages. The prediction of fatty liver plays significant role in treating the …

A New Approach Based on Fuzzy-Adaptive Structure & Parameter Learning Applied in Meta-Cognitive Algorithm for ANFIS

P Tavakoli, N Vaezi, P Fahim… - 2021 7th international …, 2021 - ieeexplore.ieee.org
A fuzzy inference system (FIS) is a widely used modeling and simulating approach based on
the concept of fuzzy set theory, fuzzy if-then rules and fuzzy logic systems. All fuzzy inference …

A comprehensive review of medical expert systems for diagnosis of chronic liver diseases

G Shaheamlung, H Kaur… - … and Knowledge Economy …, 2019 - ieeexplore.ieee.org
Liver disease is also considered amongst one of the deadly disease for example, Liver
cirrhosis (LC), the end phase of numerous types of ceaseless hepatitis of various etiologies …