Special Issue "Real-World Data for Health Research: The Potential of Longitudinal Data Mining"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Care Sciences & Services".
Deadline for manuscript submissions: 30 December 2021.
Interests: health services research; pharmacoepidemiology; drug utilization studies; drug adherence; cardiovascular drug prevention
Interests: epidemiology; public health; chronic diseases; multimorbidity; real-world data
Special Issues and Collections in MDPI journals
In the era of digitalization, both the availability and the utilization of demographic, social, clinical, health, work and lifestyle information are increasing and essential for obtaining real-world evidence (RWE). The evidence coming from large-scale observational studies complements well that traditionally obtained through clinical trials.
Integration and analysis of large real-world data (RWD) sets is performed by means of data mining processes. In this way, data mining allows to find repetitive patterns that explain data behaviour. In the field of health research, for instance, it represents an opportunity to conduct clinical-epidemiological studies aimed at identifying profiles of patients with different probabilities of presenting a specific heatlh outcome, subjects who would benefit the most from a public health intervention, or those who would respond better than others to a pharmacological treatment. Longitudinal data mining can also be useful to explore how diseases tend to cluster in the form of morbidity patterns in the population and how these patterns evolve over time following specific disease trajectories.
Generating RWE on this area may help us fill the existing knowledge gaps and support different stakeholders involved in healthcare decisions to take the most effective measures for the improvement of both patients’ quality of life and healthcare systems’ performance.
On this basis, we consider of special relevance the potential of integration and mining of health-related longitudinal data in the achievement of the best RWE on health research. Papers addressing this topic are invited for this Special Issue, especially those combining a high academic standard and a practical focus on providing relevant RWE for clinical paractice and health systems.
Dr. Sara Malo
Dr. Antonio Gimeno-Miguel
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- real-world data
- data management
- data analyses
- big data
- health care utilization
- drug utilization study