AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook
Cardiovascular disease (CVD) remains the leading cause of death worldwide. Assessing of
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
Performance evaluation of different machine learning techniques for prediction of heart disease
AK Dwivedi - Neural Computing and Applications, 2018 - Springer
Heart diseases are of notable public health disquiet worldwide. Heart patients are growing
speedily owing to deficient health awareness and bad consumption lifestyles. Therefore, it is …
speedily owing to deficient health awareness and bad consumption lifestyles. Therefore, it is …
Machine learning techniques for medical diagnosis of diabetes using iris images
Abstract Background and Objective Complementary and alternative medicine techniques
have shown their potential for the treatment and diagnosis of chronical diseases like …
have shown their potential for the treatment and diagnosis of chronical diseases like …
[PDF][PDF] Analysis of data mining and soft computing techniques in prospecting diabetes disorder in human beings: a review
P Kaur, M Sharma - Int. J. Pharm. Sci. Res, 2018 - researchgate.net
Diabetes is one of the deadliest and non-contagious diseases that can adversely affect
several parts of human body. Early prognosis of diabetes can inkling the grievous …
several parts of human body. Early prognosis of diabetes can inkling the grievous …
[PDF][PDF] Enhanced accuracy of heart disease prediction using machine learning and recurrent neural networks ensemble majority voting method
To solve many problems in data science, Machine Learning (ML) techniques implicates
artificial intelligence which are commonly used. The major utilization of ML is to predict the …
artificial intelligence which are commonly used. The major utilization of ML is to predict the …
Analysis of computational intelligence techniques for diabetes mellitus prediction
AK Dwivedi - Neural Computing and Applications, 2018 - Springer
Diabetes as a chronic disease is becoming a foremost community health concern
worldwide. In developing countries, the diabetic patients are increasing rapidly due to lack of …
worldwide. In developing countries, the diabetic patients are increasing rapidly due to lack of …
Prediction of coronary artery disease using machine learning techniques with iris analysis
Coronary Artery Disease (CAD) occurs when the coronary vessels become hardened and
narrowed, limiting blood flow to the heart muscles. It is the most common type of heart …
narrowed, limiting blood flow to the heart muscles. It is the most common type of heart …
Notice of Retraction: Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning
MU Rehman, S Najam, S Khalid… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
The liver is a vital human body organ and its functionality can be degraded by several
diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early …
diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early …
Iris tissue recognition based on GLDM feature extraction and hybrid MLPNN-ICA classifier
N Ahmadi, G Akbarizadeh - Neural Computing and Applications, 2020 - Springer
The use of iris tissue for identification is an accurate and reliable system for identifying
people. This method consists of four main processing stages, namely segmentation …
people. This method consists of four main processing stages, namely segmentation …
Computer-aided diagnosis of anterior segment eye abnormalities using visible wavelength image analysis based machine learning
MK SV - Journal of medical systems, 2018 - Springer
Eye disease is a major health problem among the elderly people. Cataract and corneal
arcus are the major abnormalities that exist in the anterior segment eye region of aged …
arcus are the major abnormalities that exist in the anterior segment eye region of aged …