Fuzzy Inference System Based-AI for Diagnosis of Esophageal Cancer

JB Idoko, MJ Sadeq - Machine Learning and the Internet of Things in …, 2023 - Springer
Due to global changes, the incidence and mortality rate of esophagus cancer has
skyrocketed in the last decades, with about 500,000 new cases. Esophageal cancer is a real …

Predicting survival of individual patients with esophageal cancer by adaptive neuro-fuzzy inference system approach

CY Wang, JT Tsai, CH Fang, TF Lee, JH Chou - Applied Soft Computing, 2015 - Elsevier
Since esophageal cancer has no symptoms in the early stage, it is usually not detected until
advanced stages in which treatment is challenging. Integrated treatment provided by a …

[HTML][HTML] Esophageal cancer prediction based on qualitative features using adaptive fuzzy reasoning method

RI Hamed - Journal of King Saud University-Computer and …, 2015 - Elsevier
Esophageal cancer is one of the most common cancers world-wide and also the most
common cause of cancer death. In this paper, we present an adaptive fuzzy reasoning …

[PDF][PDF] Fuzzy logic based expert system for detecting colorectal cancer

T Chowdhury - IRJET, 2018 - academia.edu
Colorectal cancer (or bowel cancer) which occurs in both men and women around the world.
It is called the silent killer. The death rate of colorectal cancer are greater in men than in …

[PDF][PDF] Medical applications on fuzzy logic inference system: a review

S Thukral, JS Bal - International Journal of Advanced Networking …, 2019 - academia.edu
-------------------------------------------------------------------ABSTRACT-------------------------------------------
--------------------Traditional approaches based on algorithms are not feasible for solving …

[PDF][PDF] Fuzzy rule based inference system for detection and diagnosis of lung cancer

K Lavanya, MS Durai, N Iyengar - International Journal of Latest Trends in …, 2011 - Citeseer
In this paper we design a fuzzy rule based inference system to determine and identify lung
cancer. The proposed system accepts the symptoms as input and provides the confirmed …

[HTML][HTML] Design a fuzzy rule-based expert system to aid earlier diagnosis of gastric cancer

R Safdari, HK Arpanahi, M Langarizadeh… - Acta Informatica …, 2018 - ncbi.nlm.nih.gov
Objective: to develop a fuzzy expert system that can identify gastric cancer risk levels in
individuals. Methods: This system was implemented in MATLAB software, Mamdani …

An improved adaptive neuro-fuzzy inference framework for Lung Cancer Detection & Prediction on Internet of Medical things platform

SLJ Shabu, J Refonaa, S Mallik, D Dhamodaran… - 2023 - researchsquare.com
It has become increasingly difficult for medical practitioners to recognize illness in recent
years due to the emergence of new diseases from their myriad causes on a daily basis. Due …

[PDF][PDF] Fuzzy mathematical inference system and its application in the diagnosis of lung cancer

AS Nivedita, MK Sharma - Int. J. Agric. Stat. Sci, 2021 - researchgate.net
A quite big percentage of deaths have been increased worldwide in last few years only
because of cancer. The reason of deaths is not only cancer but the lack of awareness about …

[PDF][PDF] A comparison of artificial intelligence algorithms in diagnosing and predicting gastric cancer: a review study

H Mazreati, R Radfar, MR Sohrabi… - Social Determinants …, 2023 - journals.sbmu.ac.ir
Today, artificial intelligence is considered a powerful tool that can help physicians identify
and diagnose and predict diseases. Gastric cancer has been the fourth most common …