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Diabetic foot ulcer identification: A review
Diabetes is a chronic condition caused by an uncontrolled blood sugar levels in the human
body. Its early diagnosis may prevent severe complications such as diabetic foot ulcers …
body. Its early diagnosis may prevent severe complications such as diabetic foot ulcers …
Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach
Prediction of breast tumour malignancy using ultrasound imaging, is an important step for
early detection of breast cancer. An efficient prediction system can be a great help to …
early detection of breast cancer. An efficient prediction system can be a great help to …
[HTML][HTML] Analysis of Parkinson's disease using an imbalanced-speech dataset by employing decision tree ensemble methods
Parkinson's disease (PD) currently affects approximately 10 million people worldwide. The
detection of PD positive subjects is vital in terms of disease prognostics, diagnostics …
detection of PD positive subjects is vital in terms of disease prognostics, diagnostics …
A mobile-assisted voice condition analysis system for Parkinson's disease: Assessment of usability conditions
J Carrón, Y Campos-Roca, M Madruga… - Biomedical engineering …, 2021 - Springer
Background and objective Automatic voice condition analysis systems to detect Parkinson's
disease (PD) are generally based on speech data recorded under acoustically controlled …
disease (PD) are generally based on speech data recorded under acoustically controlled …
Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks
Ultrasound imaging is one of the common modalities used nowadays during radiological
screening of breast cancer. A novel residual deep convolutional neural network (DCNN) is …
screening of breast cancer. A novel residual deep convolutional neural network (DCNN) is …
Evaluation of oversampling methods (OVER, SMOTE, and ROSE) in classifying soil liquefaction dataset based on SVM, RF, and Naïve Bayes
Class imbalanced datasets are prevalent in real-world applications, including engineering,
medical domain, financial sector, and others. Machine learning (ML)-based prediction …
medical domain, financial sector, and others. Machine learning (ML)-based prediction …
Speech processing for early Parkinson's disease diagnosis: machine learning and deep learning-based approach
Speech production disorders during Parkinson's Disease (PD) stand for one of the clinical
markers which are representative of the evolution of motor and cognitive disability …
markers which are representative of the evolution of motor and cognitive disability …
Assessment of acoustic features and machine learning for Parkinson's detection
This article presents a machine learning approach for Parkinson's disease detection.
Potential multiple acoustic signal features of Parkinson's and control subjects are …
Potential multiple acoustic signal features of Parkinson's and control subjects are …
Fusion of handcrafted and deep convolutional neural network features for effective identification of diabetic foot ulcer
Among all diabetic‐related complications, the diabetic foot ulcer (DFU) is severe,
demanding serious attention, and timely treatment. The purpose of the present study was to …
demanding serious attention, and timely treatment. The purpose of the present study was to …
An ensemble technique to predict Parkinson's disease using machine learning algorithms
Parkinson's Disease (PD) is a progressive neurodegenerative disorder affecting motor and
non-motor symptoms. Its symptoms develop slowly, making early identification difficult …
non-motor symptoms. Its symptoms develop slowly, making early identification difficult …