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A systematic literature review of data forecast and internet of things on the e-health landscape

Internet of things (IoT) is a constantly expanding paradigm that promises to revolutionise healthcare applications and could be associated with several other techniques. Data forecast is another paradigm widely used, where data captured over time are analysed in order to identify and predict problematic situations that may happen in the future. After research, we did not find surveys that address IoT combined with data prediction in healthcare area in literature. In this context, this work presents a systematic literature review on internet of things applied to e-health landscape with a focus on data forecast, presenting as results 14 papers about this theme, and a comparative analysis between them. Our main contribution for literature is a taxonomy for IoT systems with data forecast applied to healthcare. Finally, this paper presents some possibilities and challenges of exploration in the study field, showing existing gaps for future approaches.