Entropies for automated detection of coronary artery disease using ECG signals: A review

UR Acharya, Y Hagiwara, JEW Koh, SL Oh… - Biocybernetics and …, 2018 - Elsevier
Coronary artery disease (CAD) develops when coronary arteries are unable to supply
oxygen-rich blood to the heart due to the accumulation of cholesterol plaque on the inner …

Machine learning techniques in breast cancer preventive diagnosis: a review

G Anastasi, M Franchini, S Pieroni, M Buzzi… - Multimedia Tools and …, 2024 - Springer
Breast cancer (BC) is known as the most prevalent form of cancer among women. Recent
research has demonstrated the potential of Machine Learning (ML) techniques in predicting …

Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images

U Raghavendra, UR Acharya, H Fujita, A Gudigar… - Applied Soft …, 2016 - Elsevier
Breast cancer is one of the prime causes of death in women. Early detection may help to
improve the survival rate to a great extent. Mammography is considered as one of the most …

Thyroid lesion classification in 242 patient population using Gabor transform features from high resolution ultrasound images

UR Acharya, P Chowriappa, H Fujita, S Bhat… - Knowledge-Based …, 2016 - Elsevier
Thyroid cancer commences from an atypical growth of thyroid tissue at the edge of the
thyroid gland. Initially, it forms a lump in the throat and an over-growth of this tissue leads to …

Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images

U Raghavendra, SV Bhandary, A Gudigar… - Biocybernetics and …, 2018 - Elsevier
Glaucoma is the prime cause of blindness and early detection of it may prevent patients from
vision loss. An expert system plays a vital role in glaucoma screening, which assist the …

[HTML][HTML] Strategies for predictive power: Machine learning models in city-scale load forecasting

O Nooruldeen, MR Baker, AM Aleesa… - e-Prime-Advances in …, 2023 - Elsevier
This study focuses on enhancing machine learning (ML) algorithms' performance in
predicting daily loads for Kirkuk, Iraq—an essential element in energy planning, resource …

Automated diagnosis of focal liver lesions using bidirectional empirical mode decomposition features

UR Acharya, JEW Koh, Y Hagiwara, JH Tan… - Computers in biology …, 2018 - Elsevier
Liver is the heaviest internal organ of the human body and performs many vital functions.
Prolonged cirrhosis and fatty liver disease may lead to the formation of benign or malignant …

Face recognition rate using different classifier methods based on PCA

EI Abbas, ME Safi, KS Rijab - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
This paper describes the different classifier methods with minimum means of clusters to
achieve face recognition rate of humans from the feature extracted of training face image …

[HTML][HTML] Applications and technology of electronic nose for clinical diagnosis

S Chen, Y Wang, S Choi - 2013 - scirp.org
Rapid advances in sensor technologies have facilitated the development of high-
performance electronic noses that can detect and discriminate volatile compounds in situ …

Evaluation of dimensionality reduction techniques for big data

R Ramachandran, G Ravichandran… - 2020 Fourth …, 2020 - ieeexplore.ieee.org
In this digital era, big data has very high dimension and requires large amount of space for
its data storage. Hence a lossless data interpretation will be difficult when big data contains …