Abstract:
In 2020, respiratory diseases caused over 86 thousand deaths in Pakistan, ranking the
country 8th in the world for this health hazard. The majority of the population does
have access to adequate healthcare facilities, including the 61.8% of Pakistanis who
live in luial aieas. The combination of a lack of infrastructure,
health literacy severely limits the healthcare options for
necessitates the development of intelligent systems that are able to restructure
responsive and timely healthcare approaches for rural
alleviation of respiratory diseases.
not
trained personnel, and
most citizens. This situation
communities, aiding in the
To develop improved healthcare facilities,
piopose the integration of deep learning
we
and the Intel net for advanced remote caregiving solutions.
Oui proposed solution achieved exceptional performance with 95.05%
the Asthma Detection Dataset Version 2[10], comprising 1,211 lung sound samples
across 5 respiratory conditions. The system is based around three components:
The IoT smart stethoscope, the deep learning-model-based data classification
achieving clinical-grade performance, and the analysis and visualization web
application.
accuracy on
With the inclusion of these
components, the goal of our system is to transform
respiratory healthcare in Pakistan,
transformation
especially for the rural population,
lequires the responsible development of sophisticated
devices while concurrently enhancing individual health
seek to
This
diagnostic
management capabilities. We
mitigate the accessibility and knowledge gap between patients and health
practitioners using modern technologies combined with simple-to-use applications.
