[HTML][HTML] Machine learning-based diabetic neuropathy and previous foot ulceration patients detection using electromyography and ground reaction forces during gait
Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves
alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is …
alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is …
Machine learning-based diagnosis and risk factor analysis of cardiocerebrovascular disease based on KNHANES
The prevalence of cardiocerebrovascular disease (CVD) is continuously increasing, and it is
the leading cause of human death. Since it is difficult for physicians to screen thousands of …
the leading cause of human death. Since it is difficult for physicians to screen thousands of …
[PDF][PDF] Multivariate sample similarity measure for feature selection with a resemblance model
Feature selection improves the classification performance of machine learning models. It
also identifies the important features and eliminates those with little significance …
also identifies the important features and eliminates those with little significance …
[HTML][HTML] An integrated data mining algorithms and meta-heuristic technique to predict the readmission risk of diabetic patients
M Zeinalnezhad, S Shishehchi - Healthcare Analytics, 2024 - Elsevier
Reducing hospital readmission rate is a significant challenge in the healthcare industry for
managers and policymakers seeking to improve healthcare and lower costs. This study …
managers and policymakers seeking to improve healthcare and lower costs. This study …
IoT-enabled classification of echocardiogram images for cardiovascular disease risk prediction with pre-trained recurrent convolutional neural networks
C Balakrishnan, VD Ambeth Kumar - Diagnostics, 2023 - mdpi.com
Cardiovascular diseases currently present a key health concern, contributing to an increase
in death rates worldwide. In this phase of increasing mortality rates, healthcare represents a …
in death rates worldwide. In this phase of increasing mortality rates, healthcare represents a …
A literature embedding model for cardiovascular disease prediction using risk factors, symptoms, and genotype information
Accurate prediction of cardiovascular disease (CVD) requires multifaceted information
consisting of not only a patient's medical history, but genomic data, symptoms, lifestyle, and …
consisting of not only a patient's medical history, but genomic data, symptoms, lifestyle, and …
Analysis of risk factors associated with acute respiratory infections among under-five children in Uganda
Y Nshimiyimana, Y Zhou - BMC public health, 2022 - Springer
Background Globally, infectious diseases are the major cause of death in children under the
age of 5 years. Sub-Saharan Africa and South Asia account for 95% of global child …
age of 5 years. Sub-Saharan Africa and South Asia account for 95% of global child …
Combination of reduction detection using TOPSIS for gene expression data analysis
In high-dimensional data analysis, Feature Selection (FS) is one of the most fundamental
issues in machine learning and requires the attention of researchers. These datasets are …
issues in machine learning and requires the attention of researchers. These datasets are …
A machine learning-based framework for diagnosis of breast cancer
RK Sachdeva, P Bathla - International Journal of Software …, 2022 - igi-global.com
Abstract Machine learning is used in the health care sector due to its ability to make
predictions. Nowadays major cause of death in women is due to breast cancer. In this paper …
predictions. Nowadays major cause of death in women is due to breast cancer. In this paper …
Customer churn prediction in telecommunication industry using classification and regression trees and artificial neural network algorithms
SO Abdulsalam, MO Arowolo… - … Journal of Electrical …, 2022 - section.iaesonline.com
Customer churn is a serious problem, which is a critical issue encountered by large
businesses and organizations. Due to the direct impact on the company's revenues …
businesses and organizations. Due to the direct impact on the company's revenues …