Design of Reliable Framework for Healthcare Data Assessment

Dear Colleagues,

In recent years, the occurrence rates of disease in mankind are gradually rising, and efficient screening, decision making and treatment are essential to cure patients with appropriate medication procedures. During both seasonal disease spread as well as the pandemic disease conditions, the number of persons infected with a particular disease will be high, and this situation will initiate a huge diagnostic and treatment burden to hospitals. To handle this situation, most modern hospitals are employing the automatic/semi-automatic approaches for disease screening, data analysis, decision making, drug discovery, and treatment.

The currently accessible software and hardware facilities help to design a considerable number of healthcare monitoring ssystem to support early screening, disease disgnosis, and support for decision making and treatment implementation. Furthermore, the availability of modern communication facilities, such as super computing systems, the Internet of Medical Things (IoMT), and the medical cloud, considerably reduce the disease screening and treatment burdens. Furthermore, the advancements in body area network and remote monitoring facilities are also helping to guide patients to receive the assistance of doctors when there is a need.

The proposed Special Issue aims to receive the research works related to the design and  implementation of different schemes for healthcare data assesment. This Special Issue welcomes innovative research involving various examination techniques linked with clinical reports, bio-signal/bio-image screening, decision making, medication, progress monitoring, data preservation, and sharing though the IoT/Cloud. It also welcomes review articles discussing the current trends in the design of patient-specific healthcare data assesment schemes.

Prof. Dr. Seifedine Kadry
Dr. Venkatesan Rajinikanth
Guest Editors

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