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COPDVD: Automated classification of chronic obstructive pulmonary disease on a new collected and evaluated voice dataset

Abstract Background: Chronic obstructive pulmonary disease (COPD) is a severe condition affectingmillions worldwide, leading to numerous annual deaths. The absence of significant symptomsin its early stages promotes high underdiagnosis rates for the affected people. Besidespulmonary function failure, another harmful problem of COPD is the systemic effects,e.g., heart failure or voice distortion. However, the systemic effects […]

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The DiaVoc project: Diagnosing vocal characteristics to track patients’ health

This project centers on the diagnosis and monitoring of health conditions that impact patients’ vocal characteristics, including Neurocognitive disorders (NCDs) (signifying cognitive decline), pulmonary disorder (COPD), and heart failure conditions (HF). By utilizing longitudinal voice recordings paired with medical data, we aim to create mathematical vocal characteristics, distance metrics, and machine learning methodologies that are […]

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