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5G-smart diabetes: Toward personalized diabetes diagnosis with healthcare big data clouds
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 …
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
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 …
systems (NFS) are playing vital and significant role. To avoid false diagnosis the NFS assists …
A fuzzy rule-based system for classification of diabetes
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 …
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
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 …
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 …
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
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 …
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
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 …
(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
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 …
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
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 …
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
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 …
producers to improve their management. The company's tile production management is still …