Modelling, simulation, and optimization of diabetes type II prediction using deep extreme learning machine
Diabetes is among the most common medical issues which people are facing nowadays. It
may cause physical incapacity or even death in some cases. It has two core types, namely …
may cause physical incapacity or even death in some cases. It has two core types, namely …
A diabetes monitoring system and health-medical service composition model in cloud environment
Diabetes is a common chronic illness or absence of sugar in the blood. The early detection
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …
[PDF][PDF] Intelligent forecasting model of COVID-19 novel coronavirus outbreak empowered with deep extreme learning machine
An epidemic is a quick and widespread disease that threatens many lives and damages the
economy. The epidemic lifetime should be accurate so that timely and remedial steps are …
economy. The epidemic lifetime should be accurate so that timely and remedial steps are …
Fused weighted federated deep extreme machine learning based on intelligent lung cancer disease prediction model for healthcare 5.0
In the era of advancement in information technology and the smart healthcare industry 5.0,
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
the diagnosis of human diseases is still a challenging task. The accurate prediction of …
A comparative analysis of early stage diabetes prediction using machine learning and deep learning approach
Diabetes is a disease that affects how your body processes blood sugar and is often referred
to as diabetes mellitus. Insulin insufficiency and ineffective insulin use coincide when the …
to as diabetes mellitus. Insulin insufficiency and ineffective insulin use coincide when the …
Deep learning approach for diabetes prediction using PIMA Indian dataset
Abstract Purpose International Diabetes Federation (IDF) stated that 382 million people are
living with diabetes worldwide. Over the last few years, the impact of diabetes has been …
living with diabetes worldwide. Over the last few years, the impact of diabetes has been …
Cloud computing-based framework for breast cancer diagnosis using extreme learning machine
V Lahoura, H Singh, A Aggarwal, B Sharma… - Diagnostics, 2021 - mdpi.com
Globally, breast cancer is one of the most significant causes of death among women. Early
detection accompanied by prompt treatment can reduce the risk of death due to breast …
detection accompanied by prompt treatment can reduce the risk of death due to breast …
Research Progress of Diabetic Disease Prediction Model in Deep Learning
L Pan, W Sun, W Wan, Q Zeng… - Journal of Theory and …, 2023 - centuryscipub.com
Diabetes is a metabolic disease characterized by high blood sugar, which is mostly caused
by the defect of insulin secretion or the impairment of its biological function. The persistent …
by the defect of insulin secretion or the impairment of its biological function. The persistent …
A new artificial intelligence approach using extreme learning machine as the potentially effective model to predict and analyze the diagnosis of anemia
The procedure to diagnose anemia is time-consuming and resource-intensive due to the
existence of a multitude of symptoms that can be felt physically or seen visually. Anemia also …
existence of a multitude of symptoms that can be felt physically or seen visually. Anemia also …
A Novel approach to predict diabetes mellitus using modified Extreme learning machine
R Priyadarshini, N Dash… - … Conference on Electronics …, 2014 - ieeexplore.ieee.org
Data Classification and predictions are one of the prime tasks in Data mining. They continue
to play a vital role in the area of computer science and data processing field. Clustering and …
to play a vital role in the area of computer science and data processing field. Clustering and …