[HTML][HTML] COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images
Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19
patients with pneumonia. However, the similarity between features of CXR images of COVID …
patients with pneumonia. However, the similarity between features of CXR images of COVID …
[HTML][HTML] A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease
SA Ebiaredoh-Mienye, TG Swart, E Esenogho… - Bioengineering, 2022 - mdpi.com
The high prevalence of chronic kidney disease (CKD) is a significant public health concern
globally. The condition has a high mortality rate, especially in developing countries. CKD …
globally. The condition has a high mortality rate, especially in developing countries. CKD …
Forecasting daily stock trend using multi-filter feature selection and deep learning
Stock market forecasting has attracted significant attention mainly due to the potential
monetary benefits. Predicting these markets is a challenging task due to numerous …
monetary benefits. Predicting these markets is a challenging task due to numerous …
[HTML][HTML] Explainable machine learning for profiling the immunological synapse and functional characterization of therapeutic antibodies
S Shetab Boushehri, K Essig, NK Chlis, S Herter… - Nature …, 2023 - nature.com
Therapeutic antibodies are widely used to treat severe diseases. Most of them alter immune
cells and act within the immunological synapse; an essential cell-to-cell interaction to direct …
cells and act within the immunological synapse; an essential cell-to-cell interaction to direct …
Stock index futures price prediction using feature selection and deep learning
WL Yan - The North American Journal of Economics and Finance, 2023 - Elsevier
Stock index futures allows stock investors to manage different kinds of risk. This paper
combines the AdaBoost feature selection and deep learning model for predicting stock index …
combines the AdaBoost feature selection and deep learning model for predicting stock index …
[HTML][HTML] Integrated approach using deep neural network and CBR for detecting severity of coronary artery disease
V Sapra, L Sapra, A Bhardwaj, S Bharany… - Alexandria Engineering …, 2023 - Elsevier
Despite major diagnostic progress and treatment progress, cardiovascular diseases (CVD)
continue to be the world's leading cause of disease and mortality. Artificial intelligence …
continue to be the world's leading cause of disease and mortality. Artificial intelligence …
[HTML][HTML] Thermal change index-based diabetic foot thermogram image classification using machine learning techniques
Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot
thermogram images acquired using an infrared camera have been shown to detect changes …
thermogram images acquired using an infrared camera have been shown to detect changes …
[HTML][HTML] Feature selection using self-information and entropy-based uncertainty measure for fuzzy neighborhood rough set
J Xu, M Yuan, Y Ma - Complex & Intelligent Systems, 2022 - Springer
Feature selection based on the fuzzy neighborhood rough set model (FNRS) is highly
popular in data mining. However, the dependent function of FNRS only considers the …
popular in data mining. However, the dependent function of FNRS only considers the …
[HTML][HTML] Constructing an emotion estimation model based on EEG/HRV indexes using feature extraction and feature selection algorithms
K Suzuki, T Laohakangvalvit, R Matsubara, M Sugaya - Sensors, 2021 - mdpi.com
In human emotion estimation using an electroencephalogram (EEG) and heart rate
variability (HRV), there are two main issues as far as we know. The first is that measurement …
variability (HRV), there are two main issues as far as we know. The first is that measurement …
Machine learning based age-authentication assisted by chemo-kinetics: Case study of strong-flavor Chinese Baijiu
QR Liu, XJ Zhang, L Zheng, LJ Meng, GQ Liu… - Food Research …, 2023 - Elsevier
Abstract The aged Chinese liquor, Baijiu, is highly valued for its superior organoleptic
qualities. However, since age-authentication method and aging-mechanism elucidation of …
qualities. However, since age-authentication method and aging-mechanism elucidation of …