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With the development of advanced screening procedures and
techniques, certain limitations of the existing screening processes
for disease methodologies and paradigms have been noted. More
accurate and less invasive screening methods are needed to diagnose
and treat health disorders and diseases before symptoms appear.
Pre-Screening Systems for Early Disease Prediction, Detection, and
Prevention is a pivotal reference source that utilizes advanced ICT
techniques to solve problems in health data collection, analysis,
and interpretation, as well as improve existing health systems for
the advanced screening of diseases. Using non-invasive biomedical
sensor devices and internet of things technology, this book
examines safer methods to accelerate disease detection and
effectively treat patients while challenging previously used
pre-screening processes. While highlighting topics such as the
applications of machine learning, patient safety, diagnostics
models, and condition management, this publication is ideally
designed for healthcare specialists, researchers in health
informatics, industry practitioners, and academics.
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