Science Inventory

Using Machine Learning Models to Predict Functional Use (Interagency Alternatives Assessment Workshop)

Citation:

Phillips, K. Using Machine Learning Models to Predict Functional Use (Interagency Alternatives Assessment Workshop). 2018 Interagency Alternatives Assessment Biannual Workshop, Washington, DC, April 12 - 13, 2018.

Impact/Purpose:

This presentation will outline how data was collected on how chemicals are used in products, models were built using this data to then predict how chemicals can be used in products, and, finally, how combining this information with Tox21 in vitro assays can be use to rapidly screen thousand of chemicals in a matter of minutes as potentially safer alternatives in products.

Description:

This presentation will outline how data was collected on how chemicals are used in products, models were built using this data to then predict how chemicals can be used in products, and, finally, how combining this information with Tox21 in vitro assays can be use to rapidly screen thousand of chemicals in a matter of minutes as potentially safer alternatives in products.

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:04/13/2018
Record Last Revised:04/13/2018
OMB Category:Other
Record ID: 340377