A Clinical trial awareness tool Engage A Clinical trial awareness tool Steven Andrews, Rebecca Faill, Patrick Eads William Haslett, Ph.D.

Disclaimer The presenter has no financial interest in Engage, its dissemination, or its use. Funded under the Clinical and Translational Science Award (CTSA) number UL1TR001086 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH)

Outline Why do we need tools like Engage? What does Engage do? Automated synchronization with clinicaltrials.gov Automated classification of trials Web interface for browsing trials, signing up to receive alerts Status and future plans

Why do we need tools like Engage? Clinical trial recruitment can be difficult. Recruitment difficulties can result in time and cost overruns. There is no authoritative, lay-friendly national source of information on currently recruiting clinical trials. Engage can be customized for any locale / institution by simply changing the query string sent to the clinicaltrials.gov API during automated trial database updates.

Why do we need tools like Engage?

Why do we need tools like Engage?

Why do we need tools like Engage?

What does Engage do?

What does Engage do?

What does Engage do?

What does Engage do? Text classifier: Naïve Bayes and Support Vector Machine tested Bag of words Implemented in Python / scikit-learn Ground truth: 836 trials manually classified by 3 raters Validation set: 2,900 trials with a known category Results, Naïve Bayes: 93.8% accuracy in 10-fold cross validation 74.5% accuracy against the validation data set.

Status and plans New categories, new model Automate model creation using results of category- based searches on clinicaltrials.gov? Researcher interface User testing Public launch Open source