Lifespan Prediction Models
Cross-source consensus on Lifespan Prediction Models from 1 sources and 5 claims.
1 sources · 5 claims
Uses
Comparisons
Evidence quality
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Highlighted claims
- The survival-to-80 classification dataset contained 183,494 U.S.-born vertices, including 58,975 people who lived beyond 80. — Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population
- RandomForest had the highest AUC among the reported classifiers. — Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population
- The study built machine-learning classifiers to predict whether U.S.-born individuals who survived past 50 would survive past 80. — Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population
- Machine-learning models performed better than random by AUC, but their absolute discrimination was limited. — Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population
- Genealogy-derived features contributed to prediction, but explanatory and predictive power remained low. — Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population