# Applications of Machine Learning Algorithms in Geriatrics
## 4 Bibliometric Analysis
### Comparative Analysis in WOS, PubMed, IEEE, and Scopus  
To expand the research, a comparative analysis was conducted between the PubMed, IEEE, Scopus, and WOS databases. The nine search categories separate the field of geriatrics from the one where the field is approached from an ML perspective. Table 8 presents the comparative analysis graph across all nine search types. The first search included a simple search for the \"geriatr\" query, which yielded 116,692 articles in PubMed, 51,911 in Scopus, 31,951 in WOS, and 1381 in IEEE. Thus, PubMed has the highest number of articles associated with the field of geriatrics. This can be explained by the nature of the database, which primarily includes articles in the medical field. At the opposite end, IEEE has a relatively small number of articles because it is focused on the technological field. The \"geriatr\" AND dietr query yielded 2967 articles in PubMed, 1562 in Scopus, 403 in WOS, and 5 in IEEE. Thus, PubMed continues to offer the most results, demonstrating the variety in the medical field, unlike IEEE, which is not sufficiently well represented in the technical literature. Similarly, the \"geriatr\" AND nutrition\" query offered the highest values in PubMed, with 10,322 articles, followed by 3346 in Scopus, 1501 in WOS, and 16 in IEEE. Surprisingly, the \"geriatr\" AND elderl*\" query yielded 26,806 results in Scopus, 17,397 in PubMed, 9469 in WOS, and only 427 in IEEE, and generates the largest number of results \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Search Query** & **PubMed** & **Scopus** & **WOS** & **IEE** \\ \hline geriatr* & 116,692 & 51,911 & 31,951 & 1381 \\ geriatr* AND diet & 2967 & 1562 & 403 & 5 \\ geriatr* AND nutrition & 10,332 & 3346 & 1501 & 16 \\ geriatr* AND elderl* & 17,397 & 26,806 & 9469 & 427 \\ diet AND geriatricl AND machine learning & 20 & 9 & 15 & 1 \\ nutrition AND geriatricl AND machine learning & 113 & 34 & 34 & 6 \\ elderl* AND geriatricl* AND machine learning & 234 & 327 & 282 & 65 \\ geriatr* AND machine learning & 1800 & 764 & 788 & 234 \\ geriatr* AND elderl* AND nutrition AND machine learning & 29 & 18 & 12 & 2 \\ machine learning & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Comparative analysis of published papers across PubMed, WOS, Scopus, and IEEE. in this category. The surprising factor stems from the large volume of results associated with this database. The search strategy of including \"geriatr\" and \"elderl\" in the same query was to narrow the search coverage to studies that use the specific medical terminology \"geriatr\" and the more general phrase \"elderl\", focusing on those that explicitly target older people. The \"diet AND geriatric\" AND machine learning\" query yielded 20 articles in PubMed, 15 in WOS, 9 in Scopus, and 1 in IEEE. The category combines three fields, which explains the small number of articles. Although PubMed once again yields a large number of results, it is considerably smaller and suggests the need for intensified research. The \"nutrition AND geriatric\" AND machine learning\" query yielded 113 results in PubMed, 34 in Scopus, 34 in WOS, and 6 in IEEE. PubMed dominates this field due to the large number of articles related to elderly nutrition addressed with ML. However, the number of articles is very small. The \"elderl\" AND geriatric\" AND machine learning\" query generated 327 results in Scopus, 234 articles in PubMed, 282 in WOS, and 65 in IEEE. And, this time, Scopus surprises with a larger number of results compared to other databases. The \"geriatr\" AND machine learning\" query yielded 1800 results in PubMed, 788 in WOS, 764 in Scopus, and 234 in IEEE. Thus, PubMed has the most articles related to geriatrics and ML, followed by WOS with an almost equal number. This time, Scopus and IEEE have lower results. The \"geriatr\" AND elderl\" AND nutrition AND machine learning\" query yielded 29 studies in PubMed, 18 in Scopus, 12 in WOS, and 2 in IEEE. This category is limited, generating only a few dozen papers.