Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques

Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques

The proposed methodology is aimed at classifying whether a patient has PD or not by analyzing…

Continue Reading
Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

Enhancing parkinson disease detection through feature based deep learning with autoencoders and neural networks

The implementation of the proposed method was conducted in the Jupyter Notebook integrated development environment (IDE).…

Continue Reading
Exploring advancements in cardiovascular disease monitoring

Exploring advancements in cardiovascular disease monitoring

Overview of different types of HSs measuring devices for the diagnosis of diseases. HS, heart sound.…

Continue Reading
He diagnosed his rare disease using Google. Now he hopes AI can do the same for others

He diagnosed his rare disease using Google. Now he hopes AI can do the same for others

White Coat Black Art26:30The power of AI to diagnose rare diseases If it hadn’t been for…

Continue Reading
Wearable Health Tech: Innovations and Impacts on Chronic Disease Management

Wearable Health Tech: Innovations and Impacts on Chronic Disease Management

Just a few decades ago, for a patient to gain insight into their current health prognosis,…

Continue Reading
Simplified system detects Parkinson’s disease using sensors, machine learning

Simplified system detects Parkinson’s disease using sensors, machine learning

Integrating wearable sensors and machine learning has enabled researchers to develop a simplified method to diagnose…

Continue Reading