A5055871927- Voice and Speech Disorders
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Dysphagia Assessment and Management
- Speech Recognition and Synthesis
- Phonocardiography and Auscultation Techniques
- Brain Tumor Detection and Classification
- Lung Cancer Diagnosis and Treatment
- Nursing Diagnosis and Documentation
- Higher Education Governance and Development
- Context-Aware Activity Recognition Systems
- Machine Learning in Healthcare
- International Student and Expatriate Challenges
- Dementia and Cognitive Impairment Research
- Online and Blended Learning
- Winter Sports Injuries and Performance
Blekinge Institute of Technology
2023-2025
Dementia is a cognitive disorder that mainly targets older adults. At present, dementia has no cure or prevention available. Scientists found symptoms might emerge as early ten years before the onset of real disease. As result, machine learning (ML) scientists developed various techniques for prediction using symptoms. However, these methods have fundamental limitations, such low accuracy and bias in models. To resolve issue proposed ML model, we deployed adaptive synthetic sampling (ADASYN)...
Abstract Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need data has necessitated the adoption of various techniques, including segmentation, to augment existing datasets training comprehensive Machine Learning (ML) modelsThis study aims investigate possible effects segmentation utterance vowel "a" on performance ML classifiers CatBoost (CB), Random Forest (RF), and Support...
Chronic obstructive pulmonary disease (COPD) is a severe condition affecting millions worldwide, leading to numerous annual deaths. The absence of significant symptoms in its early stages promotes high underdiagnosis rates for the affected people. Besides function failure, another harmful problem COPD systemic effects, e.g., heart failure or voice distortion. However, effects might provide valuable information detection. In other words, caused by could be helpful detect stages.
Background: Chronic obstructive pulmonary disease (COPD) is a severe condition affecting millions worldwide, leading to numerous annual deaths. The absence of significant symptoms in its early stages promotes high underdiagnosis rates for the affected people. Besides function failure, another harmful problem COPD systematical effects, e.g., heart failure or voice distortion. However, systematic effects might provide valuable information detection. In other words, caused by could be helpful...
<sec> <title>BACKGROUND</title> Normal voice production depends on the synchronized cooperation of multiple physiological systems, which makes sensitive to changes. Any systematic, neurological, and aerodigestive distortion is prone affect through reduced cognitive, pulmonary, muscular functionality. This sensitivity inspired using as a biomarker examine disorders that voice. Technological improvements emerging machine learning (ML) technologies have enabled possibilities extracting digital...