Big Data Healthcare in South Africa for IoT using Deep Learning

Abstract

People in South Africa are facing a shortage of medical services, making it difficult for them to receive the right care from the hospital. Patients in South Africa must pay more money to receive the proper treatments due to the low percentage of doctors and poor per capita income. To shorten the distance between patients and experts, enables the patients to receive quality care at a lesser cost, contemporary information technologies must be applied. However, the use of electrical device interaction is involved to resolve this serious issue. Machine learning is an effective method for data analytics with the vast data gathered from these devices due to its high accuracy, low processing costs and low power dissipation. This study’s foundation is a case study and use case that incorporates the develops a novel framework, a database, a smartphone application, and an android-based application system that allows patients and doctors to communicate. Additionally, the platform assists in storing patient health information by applying machine learning techniques and generates the final prediction to obtain the appropriate medical care provided with the use of machines and physicians.

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