Comparative analysis of classification methods with PCA and LDA for diabetes
Background: The modern society is extremely prone to many life-threatening diseases,
which can be easily controlled as well as cured if diagnosed at an early stage. The …
which can be easily controlled as well as cured if diagnosed at an early stage. The …
Prediction of type 2 diabetes using machine learning classification methods
Over 30 million people in India are suffering from diabetes and many others are under the
risk. Thus, early diagnosis and treatment is required to prevent diabetes and its associated …
risk. Thus, early diagnosis and treatment is required to prevent diabetes and its associated …
Using recurrent neural networks for predicting type-2 diabetes from genomic and tabular data
The development of genomic technology for smart diagnosis and therapies for various
diseases has lately been the most demanding area for computer-aided diagnostic and …
diseases has lately been the most demanding area for computer-aided diagnostic and …
Performance evaluation of classification methods with PCA and PSO for diabetes
Diabetes has become one of the major health concerns for the modern day population. This
can be attributed to a number of factors such as unhealthy lifestyle, meager diet, genetics …
can be attributed to a number of factors such as unhealthy lifestyle, meager diet, genetics …
[Retracted] IoT‐Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
Nowadays, there is a growing need for Internet of Things (IoT)‐based mobile healthcare
applications that help to predict diseases. In recent years, several people have been …
applications that help to predict diseases. In recent years, several people have been …
Recent advances in computer-aided medical diagnosis using machine learning algorithms with optimization techniques
Artificial intelligence is a spectacular part of computer engineering that has earned a
compelling diversion in the field of medical data classification due to its state-of-art …
compelling diversion in the field of medical data classification due to its state-of-art …
Efficient prediction of early-stage diabetes using XGBoost classifier with random forest feature selection technique
S Gündoğdu - Multimedia Tools and Applications, 2023 - Springer
Diabetes is one of the most common and serious diseases affecting human health. Early
diagnosis and treatment are vital to prevent or delay complications related to diabetes. An …
diagnosis and treatment are vital to prevent or delay complications related to diabetes. An …
[PDF][PDF] Heart disease prediction using machine learning and data mining
K Srivastava, DK Choubey - International Journal of Recent …, 2020 - researchgate.net
Weighing only 300 grams, Heart is declining the mortality rate at a rapid pace from decades.
The major factors that contribute to it are smoking, drinking, unbalanced diet, and many …
The major factors that contribute to it are smoking, drinking, unbalanced diet, and many …
Deconstructive human face recognition using deep neural network
RK Dubey, DK Choubey - Multimedia Tools and Applications, 2023 - Springer
Confront reproduction or confront optimization as a biometric, encompasses a few points of
interest in measurable application. The estimate and structure of confront are inactive of a …
interest in measurable application. The estimate and structure of confront are inactive of a …
Prediction of type-2 diabetes using machine learning algorithms
V Mounika, DS Neeli, GS Sree… - … and Smart Systems …, 2021 - ieeexplore.ieee.org
Type 2 diabetes mellitus (DM) is a chronic condition whose prevalence has been gradually
growing across the world. About 30 million people in India have Diabetes, and are many …
growing across the world. About 30 million people in India have Diabetes, and are many …