Health data management based on the affinity coefficient. Applications to time series cluster analysis in biotechnology
- Autores: Ana Paula Martins do Nascimento
- Directores de la Tesis: Maria Helena Bacelar Valente da Costa Nicolau (dir. tes.), Maria Cristina Prudêncio Pereira Soares (dir. tes.)
- Lectura: En la Universidade de Vigo ( España ) en 2025
- Idioma: inglés
- Tribunal Calificador de la Tesis: Carmen Sieiro Vázquez (presid.), João Pedro Cavaleiro Rufo (secret.), Áurea Sandra Toledo de Sousa (voc.)
- Programa de doctorado: Programa de Doctorado en Biotecnología Avanzada por la Universidad de A Coruña y la Universidad de Vigo
- Materias:
- Enlaces
- Tesis en acceso abierto en: Investigo
- Resumen
The biotechnology is the science whose object is the application of scientific and technical knowledge for the purpose of improving the quality of life of humans and animals. We understand technical knowledge, for example, techniques that serve our goals. Some of the techniques used in this work, are included in the field of exploratory multivariate analysis called hierarchical classification or "hierarquical cluster analysis". To use these techniques, you must set a coefficient of similarity or dissimilarity, which may be a distance between the pairs of elements of the set that you want to rate, and then choose a criterion for aggregation between classes (e.g. Bacelar-Nicolau, 1987; Nicolau & Bacelar-Nicolau, 1998; Bacelar-Nicolau, 2000). The hierarchical classification techniques apply to the Portuguese mortality and cellular model.
