Diabetic foot ulcer identification: A review

SK Das, P Roy, P Singh, M Diwakar, V Singh, A Maurya… - Diagnostics, 2023 - mdpi.com
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 …

Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach

AK Mishra, P Roy, S Bandyopadhyay, SK Das - Expert Systems, 2021 - Wiley Online Library
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 …

[HTML][HTML] Analysis of Parkinson's disease using an imbalanced-speech dataset by employing decision tree ensemble methods

O Barukab, A Ahmad, T Khan… - Diagnostics, 2022 - mdpi.com
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 …

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 …

Achieving highly efficient breast ultrasound tumor classification with deep convolutional neural networks

AK Mishra, P Roy, S Bandyopadhyay… - International Journal of …, 2022 - Springer
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 …

Evaluation of oversampling methods (OVER, SMOTE, and ROSE) in classifying soil liquefaction dataset based on SVM, RF, and Naïve Bayes

S Demir, EK Şahin - Avrupa Bilim ve Teknoloji Dergisi, 2022 - dergipark.org.tr
Class imbalanced datasets are prevalent in real-world applications, including engineering,
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

R Khaskhoussy, YB Ayed - Social Network Analysis and Mining, 2022 - Springer
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 …

Assessment of acoustic features and machine learning for Parkinson's detection

M Pramanik, R Pradhan, P Nandy… - Journal of healthcare …, 2021 - Wiley Online Library
This article presents a machine learning approach for Parkinson's disease detection.
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

SK Das, P Roy, AK Mishra - Concurrency and Computation …, 2022 - Wiley Online Library
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 …

An ensemble technique to predict Parkinson's disease using machine learning algorithms

N Singh, P Tripathi - Speech Communication, 2024 - Elsevier
Parkinson's Disease (PD) is a progressive neurodegenerative disorder affecting motor and
non-motor symptoms. Its symptoms develop slowly, making early identification difficult …