Lifespan Prediction Using Machine Learning Techniques on Historic Full Count Census Data
2024
Lifespan Prediction Using Machine Learning on Historic Census Data
publication
Author Information
Author(s): Carlston Kelsey
Primary Institution: Gonzaga University
Hypothesis
Can machine learning techniques develop socioeconomic status scores from early 1900s Census data to predict lifespan?
Conclusion
The study aims to create publicly available lifespan prediction scores based on historical Census data.
Supporting Evidence
- The study proposes a new measure of status scores for Censuses in the early 1900s.
- Income and education data were not collected by the US Census before 1940.
- The study aims to make the scores publicly available for further research.
Takeaway
This study is trying to figure out how to use old Census information to guess how long people might live.
Methodology
The study uses machine learning techniques to analyze various Census variables to develop socioeconomic status scores.
Digital Object Identifier (DOI)
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