CWDS Featured on Gigaom: How Machine Learning is Saving Lives While Saving Hospitals Money

The Center for Data Science has just been featured in an article by Derrick Harris with Gigaom, titled: "How Machine Learning is Saving Lives While Saving Hospitals Money", centered around the Risk-O-Meter tool developed by the Healthcare Informatics research group at CWDS.

Clean Water Challenge - 2014 Save the Date

The UW Center for Data Science is hosting the 2014 Clean Water Challenge on the UW Tacoma Campus, July 12, 2014, sponsored by GeoEngineers, 2Bridges Tech, Esri, and Microsoft Azure for Research.
What happens when you put 100 environmental sciences, civil engineers, geospatial temporal researchers, data scientists, app developers, and database engineers in the same room? Add to that some very energetic students, unlimited cloud compute resources, and a passion for collaborative problem solving? Something Amazing!

Prediction of Hospitalization Cost for Childbirth Variables

Authors - Si-Chi Chin, James Marquardt, Rui Liu, Martine De Cock
As part of a workshop submission to HI-KDD on predicting monetary costs to mothers hospitalized ahead of childbirth, we include a list of variables used in our models. These variable descriptions are publicly available from the Healthcare Cost Utilization Project (HCUP) State Inpatient Database (SID) website at