Data Sources

Using machine learning to predict kidney waitlist numbers in each state of US.

Data Sources

OPTN

The Organ Procurement and Transplant Network (OPTN) has been collecting data on every organ donor and every transplant since October 1, 1987. Data is collected through UNet, and all the US transplant programs report to UNet. Data collected in UNet is published in OPTN to be easily exported into CSVs.

OPTN Site


State of Childhood Obesity

State of Childhood Obesity collects data from major surveys that track rates at the national and state level, including the National Health and Nutrition Examination Survey, the Behavioral Risk Factor Surveillance System, the National Survey of Children’s Health, the WIC Participant and Program Characteristics, and the Youth Risk Behavior Survey.

SCO Site


America's Health Rankings

For three decades, America’s Health Rankings has provided an analysis of national health on a state-by-state basis by evaluating a historical and comprehensive set of health, environmental and socioeconomic data to determine national health benchmarks and state rankings.

Inactivity Data


CDC

Centers for Disease Control and Prevention collects data from across the country on multiple issues.

CDC Overdose Data


Sources for stats and facts

Donate Life California

Donate Life California


Nephrology Dialysis Transplantation

NDT


National Center for Biotechnology Information

NCBI Opiod Reference

NCBI Obesity Reference


National Institute of Diabetes and Digestive and Kidney Diseases

NIDDK


Donate Life America

Donate Life America


View Our Data

We've made our cleaned CSV files easily accessible for you to run your own data analysis.



Download Schema

Want to work with the data in SQL? Download the schema!



Dive into our model

See the step by step code for our machine learning model and understand the data

See the model