Framing thematic trends around computational methods research in health sciences

Oscuvilca-Tapia E.C.; Bermejo-Sánchez F.R.; Noreña-Lucho M.M.; Estrada-Choque E.A. · Revista Cientifica de Sistemas e Informatica (2025) · DOI: 10.51252/rcsi.v5i1.913

Resumen

In this study, we adopted the term co-occurrence analysis method to explore the thematic trends in the literature regarding computational methods applied to health science. We will outline the key topics and subtopics that characterize this area of research. The Visualization of Similarities (VOS) algorithm was utilized to represent the relationships between keywords, identifying thematic clusters. Five clusters were identified: computational methods and modeling, computational chemistry and molecular dynamics, computational biology and data analysis, computational methods and biological models, and computational modeling and drug design. The study indicates that integrating computational methods in health sciences is a continuously expanding field. Key applications include modeling biological processes, simulating molecular interactions, and optimizing medical treatments. The various clusters analyzed demonstrate that computational tools enhance the exploration of biomedical phenomena and improve the accuracy of diagnoses, the personalization of therapies, and the efficiency of pharmaceutical research. © The authors.

Instituciones: Universidad Nacional José Faustino Sánchez Carrión