Elsevier,
EEG-Based Diagnosis of Alzheimer Disease, A Review and Novel Approaches for Feature Extraction and Classification Techniques, 2018, Pages 61-71
This chapter addresses goal 3 by discussing the application of machine learning algorithms to EEG datasets in Alzheimer's disease.
Background: Older adults are at increased risk of malnutrition compared to their younger counterparts. Malnutrition screening should be conducted using a valid malnutrition screening tool.
Background: Concurrent psychosocial problems may synergistically increase the risk of HIV infection (syndemics), representing a challenge for prevention.
Objectives: This paper review trends in emerging infections and the need for increased clinical and laboratory surveillance.
Contributing to SDG 3 (good health and well-being) and SDG 10 (reduced inequalities), this article explores how frequently gender-affirming treatments are performed, and the number of people experiencing regret of this treatment.
Fear of crime, which may be present without experiencing an actual crime, can restrict one's daily physical and mental activities and reduce quality of life.
As emerging contaminants, antibiotic resistance genes (ARGs) have become a public concern.
The importance of stigma in shaping the experiences of people living with dementia and challenging their social citizenship emerges repeatedly as a powerful and negative force.
Stigma negatively affects individuals with cognitive impairment and dementia.
While the use of making in participatory co-design is common, I argue for the benefits that making-led participatory co-design can bring to two fields where its use is rare: early-stage innovation and
