Published May 3, 2021 | Version v1
Dataset Open

DJIN model of aging synthetic dataset

  • 1. Dalhousie University

Description

The DJIN model of aging was trained on the English Longitudinal Study of Aging (ELSA). Here we have used the model to generate a large synthetic population of 9 million individuals. There are 3 million individuals for each baseline age of 65, 75, and 85 years simulated for 20 years. For each individual, we supply a health trajectory with 29 tracked health variables with mortality. Demographic and background health variables have been sampled based on the ELSA population demographics.

Each Data_part includes 1.8 million individuals. The file_description.txt file describes the files, and health_columns.csv and background_columns.csv indicate the columns of the files.

The ELSA dataset itself can be accessed at https://www.elsa-project.ac.uk/accessing-elsa-data.

Code for the model is available at https://github.com/Spencerfar/djin-aging.

Files

background_columns.csv

Files (38.7 GB)

Name Size Download all
md5:7312241060b3096f54363ee1ad2c1c83
351 Bytes Preview Download
md5:7889c5ab049be8476039619ae74ad2eb
7.7 GB Preview Download
md5:138af019a029e41884385a388cfd22bf
7.7 GB Preview Download
md5:446a349719dec8c9e45d1b6ba030f4e2
7.7 GB Preview Download
md5:fafadeba127e1ce7990237c8c47d17bd
7.7 GB Preview Download
md5:ac96fbd19f489048fded9364d5586da5
7.7 GB Preview Download
md5:b10666ae241336d7b7d377a184459106
796 Bytes Preview Download
md5:0baa8af180c2d4d4af452f2805fcd091
587 Bytes Preview Download