5G-smart diabetes: Toward personalized diabetes diagnosis with healthcare big data clouds

M Chen, J Yang, J Zhou, Y Hao… - IEEE …, 2018 - ieeexplore.ieee.org
Recent advances in wireless networking and big data technologies, such as 5G networks,
medical big data analytics, and the Internet of Things, along with recent developments in …

Usage and implementation of neuro-fuzzy systems for classification and prediction in the diagnosis of different types of medical disorders: a decade review

H Kour, J Manhas, V Sharma - Artificial Intelligence Review, 2020 - Springer
In classification and prediction of different types of medical disorders the neuro-fuzzy
systems (NFS) are playing vital and significant role. To avoid false diagnosis the NFS assists …

A fuzzy rule-based system for classification of diabetes

KM Aamir, L Sarfraz, M Ramzan, M Bilal, J Shafi… - Sensors, 2021 - mdpi.com
Diabetes is a fatal disease that currently has no treatment. However, early diagnosis of
diabetes aids patients to start timely treatment and thus reduces or eliminates the risk of …

An enhanced machine learning framework for type 2 diabetes classification using imbalanced data with missing values

K Roy, M Ahmad, K Waqar, K Priyaah, J Nebhen… - …, 2021 - Wiley Online Library
Diabetes is one of the most common metabolic diseases that cause high blood sugar. Early
diagnosis of such a condition is challenging due to its complex interdependence on various …

A comparative analysis of machine learning algorithms to build a predictive model for detecting diabetes complications

AA Abaker, FA Saeed - Informatica, 2021 - informatica.si
Diabetes complications have a significant impact on patients' quality of life. The objective of
this study was to predict which patients were more likely to be in a complicated health …

Sentiment analysis of COVID-19 tweets using adaptive neuro-fuzzy inference system models

SS Mohammed, B Menaouer, AFF Zohra… - International Journal of …, 2022 - igi-global.com
In today's digital era, Twitter's data has been the focus point among researchers as it
provides specific data and in a wide variety of fields. Furthermore, Twitter's daily usage has …

Early prediction of diabetes mellitus using various artificial intelligence techniques: a technological review

SM Ganie, MB Malik, T Arif - International Journal of …, 2021 - inderscienceonline.com
Millions of people around the globe are suffering from diabetes. Most of the patients
(diabetic or potentially diabetic) are not familiar with their health issues and the risk factor …

A proposed approach for diabetes diagnosis using neuro-fuzzy technique

MT Alasaady, TNM Aris, NM Sharef… - Bulletin of Electrical …, 2022 - mail.beei.org
Diabetes is a chronic disease characterized by a decrease in pancreatic insulin production.
The immune system will be harmed due to this condition, which will raise blood sugar levels …

Role of AI techniques and deep learning in analyzing the critical health conditions

S Srivastava, M Pant, R Agarwal - International Journal of System …, 2020 - Springer
The role of a healthcare practitioner is to diagnose a disease and find an optimum means for
suitable treatment. This has been the most challenging task over the years. The researchers …

Fuzzy Inference System Tsukamoto–Decision Tree C 4.5 in Predicting the Amount of Roof Tile Production in Kebumen

T Tundo, F Mahardika - JTAM (Jurnal Teori dan Aplikasi …, 2023 - journal.ummat.ac.id
Tile is a product that is in great demand by many people. This has become a trigger for
producers to improve their management. The company's tile production management is still …