Principal Component Analysis

Diagram of wearable sensor based rehabilitation assessment steps.
A cerebrovascular accident or stroke is the second commonest cause of death in the world. If it is not fatal, it can result in paralysis, sensory impairment and significant disability. Rehabilitation plays an important role to help survivors relearn lost skills and assist them to regain independence and thus ameliorate their quality of life. With the development of technology, researchers have come up with new solutions to assist clinicians in monitoring and assessing their patients; as well as making physiotherapy available to all.
This study supports SDGs 3 and 10 by investigating the role of genetic ancestry in ethnic disparities in type 2 diabetes, and interactions with socioeconomic deprivation. The effects of environmental risk factors were found to differ among ancestry groups, suggesting the need for group-specific interventions.
Elsevier, Sustainable Cities and Society, Volume 44, January 2019
There has recently been a conscious push for cities in Europe to be smarter and more sustainable, leading to the need to benchmark these cities’ efforts using robust assessment frameworks. This paper ranks 28 European capital cities based on how smart and sustainable they are. Using hierarchical clustering and principal component analysis (PCA), we synthesized 32 indicators into 4 components and computed rank scores. The ranking of European capital cities was based on this rank score.