Название: Computer Vision and AI-Integrated IoT Technologies in the Medical EcosystemАвтор: Alex Khang, Vugar Abdullayev, Olena Hrybiuk
Издательство: CRC Press
Год: 2024
Страниц: 458
Язык: английский
Формат: pdf (true)
Размер: 19.2 MB
This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem, and to better serve patients and stakeholders. It looks at the methodologies, technologies, models, frameworks, and practices necessary to resolve the challenging issues associated with leveraging the emerging technologies driving the medical field.
The chapters discuss machine vision, AI-driven computer vision, Machine Learning, Deep Learning, AI-integrated IoT technology, Data Science, blockchain, AR/VR technology, cloud data, and cybersecurity techniques in designing and implementing a smart healthcare infrastructure in the era of the Industrial Revolution 4.0. Techniques are applied to the detection, diagnosis, and monitoring of a wide range of health issues.
The mission of this chapter is to create an application using a Machine Learning (ML) model to predict the presence of sepsis in a patient. In this chapter, the basics of data analysis including data cleaning, removal of outliers, and filling in missing data for individual patients are covered, which is further followed by discussion of feature selection, under-sampling, choosing the most accurate ML model, and validating the model. Also, the model explainability using Python is explored and the model is deployed on the Streamlit web application platform.
Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem targets a mixed audience of students, engineers, researchers, academics, and professionals who are researching and working in the field of medical and healthcare industries from different environments and countries.
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