Abstract

Whenever thought about mass deaths of people, it was either from a flood, drought, or an explosion caused by a missile or bomb, but these days the significant risk to the human lives from the disease named “Cancer”. Cancer is largest cause of death in the world . To prevent the Cancer Disease from disseminate, regular identifying and monitoring of infected patients is needed. In this regard, Wireless Body Area Network (WBAN) can be used in conjunction with the Internet of Things (IoT) and Multi-Criteria Decision- Making Method (MCDM) for identifying and monitoring the human body for health-related information, which in turn can aid in early diagnosis of diseases. WBAN makes use of the biosensors in, on or around the body, to ensure the measurement of the biological specifications of the human body, which are designed for the healthcare application. This paper proposes a novel WBAN framework for detection of an early stage of Cancer which based on IoT to receive the biosensor signals from the patient and evaluate symptoms of disease and help healthcare professionals to improve and enhance cancer treatment . Due to resemblance of Cancer symptoms with several other diseases, this paper also presents the Promethee MCDM to help medical professionals identify the disease that the patient might be suffering from or suffer without Cancer. This methodology relies on collected information from the proposed WBAN framework, and it can deal with the complexity of imprecision and confusion arising from the relative priority scales of various disease symptoms. Keywords: Cancer; Wireless Body Area Network; Internet of Things; Multi-Criteria Decision-Making; Preference ranking organization method for Enrichment Evaluation

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