this work leverages this potential of the Internet of Everything lifestyle and aims to address above the above-mentioned challenges by presenting an open-access dataset that consists of the user interests towards fall detection for all the 193 countries of the world studied from 2004–2021. In the dataset, the user interest data is available for each month for all these countries in this time range.
The work towards the development of this dataset, along with the associated research methods and data description, has been presented in the paper – “Country-Specific Interests towards Fall Detection from 2004–2021: An Open Access Dataset and Research Questions” (URL: https://www.mdpi.com/2306-5729/6/8/92). Based on the analysis of potential and emerging research directions in the interrelated fields of Big Data, Data Mining, Information Retrieval, Natural Language Processing, Data Science, and Pattern Recognition, in the context of fall detection research, this paper also presents 22 research questions that may be studied, evaluated, and investigated by researchers using this dataset.
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Website | https://ieee-dataport.org/open-access/dataset-country-specific-interests-towards-fall-detection-2004%E2%80%932021 |
Knowledge | Complementing, Crowd, Explicitness, Healthcare, Healthcare Applications, Knowledge-Bases, Medical facilities, Monitor the diagnosis, Outcome, Semi-structured, Structure, Structured, Tacit, Transformation, Trust |
Type | |
Observation | |
Capability | Communication, Conceptual, Organizational |
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