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Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population by Fire, Michael; Elovici, Yuval is a scholarly article available to read on EtoBox.

What is Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population about?

Online genealogy datasets contain extensive information about millions of people and their past and present family connections. This vast amount of data can assist in identifying various patterns in human population. In this study, we present methods and algorithms which can assist in identifying variations in lifespan distributions of human population in the past centuries, in detecting social and genetic features which correlate with human lifespan, and in constructing predictive models of human lifespan based on various features which can easily be extracted from genealogy datasets. We have evaluated the presented methods and algorithms on a large online genealogy dataset with over a million profiles and over 9 million connections, all of which were collected from the WikiTree website. Our findings indicate that significant but small positive correlations exist between the parents' lifespan and their children's lifespan. Additionally, we found slightly higher and significant correlations between the lifespans of spouses. We also discovered a very small positive and significant correlation between longevity and reproductive success in males, and a small and significant negative c

Author

Fire, Michael; Elovici, Yuval

Published

2013

Language

EN