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## Introduction In recent years, new methods have become available for integrating data obtained from mobile medical apps and IoT devices into the cloud-based data warehouses of online hospital information systems (HIS). The common use and widespread presence of mobile computing devices such as smartphones, smartwatches, and tablets, which are today equipped with advanced digital cameras, touchscreen electronic visual displays, and sensors, have enabled software developers to apply new methods for the creation of multipurpose medical apps which can perform tests for diagnosing and monitoring a large variety of diseases. The data warehouses of HIS are also being upgraded to allow the use of big data collected in cloud-based repositories and obtained from a vast array of sources, including medical apps and IoT devices. Today, various artificial intelligence (AI) methods are used by clinical decision support systems (CDSS) in hospitals worldwide for assisting physicians in accurately diagnosing diseases. Through the use of these devices and systems, physicians today can continuously monitor the treatment process of their patients from remote locations. There are numerous sources which

Author

Mustafa Asim Kazancigil

Publisher

Elsevier Science & Technology

Published

2022

Language

EN

ISBN

9780323985161

Subjects

Technology, Medical, Business