The results (Figure 1B) show that the density visualization indicates that Alzheimer’s disease and oxidative stress are the most prominent terms, followed by memory, dementia, anxiety, and stress. To better understand the relationship between different topics in the stress and anxiety association with AD, an unsupervised machine learning model was applied. The Multiple Correspondence Analysis (MCA) method was used. The model generates two clusters: a red cluster and a blue cluster, as presented in Figure 1C. The red cluster is more focused on anxiety, stress, depression, diseases, memory, expression, cognitive, oxidative, effect, and brain. The blue cluster is focused on Alzheimer. (Figure 1D) indicates inter-country collaboration. The most productive country was China, followed by the United States of America (USA) and Iran. China has strongly collaborated with the United Kingdom, Italy, and Spain, while the USA has strong collaboration with India and Canada. Analysis of the titles shows that, besides the search key terms, other trending topics are disease, oxidative, model, pathology, mitochondrial, patient, brain, neuronal, and antioxidant. It is worth exploring and understanding the causes of neurodegenerative diseases and dementia to search for remedies and save the aged population from experiencing extensive dementia.