Bayesian Model to Determine Genealogical Links of Family Descendants

Abstract

Knowing our family ancestry and descendant is essential since we are the result of generations that have transmitted lives and experiences over time; however, today, it is also of great help in genetics, health, and safety, among other fields. The research shows the development of a model for the genealogical linking of citizens by a descendant, using Bayesian methods with machine learning algorithms, processing data from structured sources of civil registries, and identification of Peru as RENIEC. The model verifies the relationship and identity of citizens' links by determining their descent by integrating and analyzing incomplete, incorrect, inaccurate, and irrelevant data, achieving precision with an approximation of 95.87% of the genealogical links.