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Smart Health is a peer-reviewed journal published by Elsevier, covering Non-Invasive Vital Sign Monitoring, Context-Aware Activity Recognition Systems, Diverse Scientific and Economic Studies.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Smart Health 12 (2023) 45–58.
Formats any DOI in Smart Health style. No sign-up. |
| Publishes research in | Non-Invasive Vital Sign Monitoring Context-Aware Activity Recognition Systems Diverse Scientific and Economic Studies Human auditory perception and evaluation EEG and Brain-Computer Interfaces |
| ISSN | 2352-6483 |
| Citation impact (2-yr) | 3.65 |
| h-index | 33 |
| i10-index | 171 |
| Total citations | 5,780 |
| Article processing charge | $2,120 |
| Top institutions publishing here | University at Buffalo, State University of New York |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In the wake of COVID-19 disease, caused by the SARS-CoV-2 virus, we designed and developed a predictive model based on Artificial Intelligence (AI) and Machine Learning algorithms to determine the health risk and predict the mortality risk of patients with COVID-19. In this study, we used a dataset of more than 2,670,000 laboratory-confirmed COVID-19 patients…
Urban environments with a high degree of industrialization are infested with hazardous chemicals and airborne pollutants. These pollutants can have devastating effects on human health, causing both acute and chronic diseases such as respiratory infections, lung cancer, and heart disease. Air pollution monitoring is vital not only to citizens, warning them on the health risks…
The profound impact of food on health necessitates advanced nutrition-oriented food recommendation services. Conventional methods often lack the crucial elements of personalization, explainability, and interactivity. While Large Language Models (LLMs) bring interpretability and explainability, their standalone use falls short of achieving true personalization. In this paper, we introduce ChatDiet, a novel LLM-powered framework designed specifically…
