Social Network Structure and Data Analysis in Healthcare

Community Detection Algorithms in Healthcare Applications: A Systematic Review

“…For example, e-Health data analysis facilitates the delivery of health care services in developing countries [8,9]. Although the massive amount of healthcare data provides valuable opportunities to improve patient health experience, it also prompts various sources of uncertainties (e.g., missing data, spelling errors, inefficient updates, anomalous patterns), which may lead to abusive activities and access restriction [17][18][19][20]. The discrepancy and variety of the sources of data used in healthcare create additional challenges associated with formatting and protection issues.…”

“…This empowered SNA to emerge in several fields related to healthcare and health sciences such as neuroscience [13], epidemiology [14], social-support [15], cancerology [16], pharmacovigilance [17], rehabilitation [18], among others. The link between healthcare and SNA can be viewed from different standpoints [19]. First, according to WHO, healthcare manifests through interactions between various organizations, actors, and service providers whose primarily intention is to promote, restore, or maintain health [20].…”

“…Bhambere [19] 2022 Light discussion of the role of social media in healthcare applications, together with the evolution of the National Institute for Health Research (NIHR). This is followed by a light review of Data mining techniques, and associated challenges.…”