• Artificial Intelligence in Medicine

Invited SpeakersProfile Details

Arwa A. Bin Raies
Arwa A. Bin Raies ​Arwa Raies has recently completed her PhD in Computer Science at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia.

Biography

​Arwa Raies has recently completed her PhD in Computer Science at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. She holds a Master’s Degree in Computer Science from KAUST, and a Bachelor’s Degree in Computer Science from Prince Sultan University in Riyadh, Saudi Arabia. Arwa has led research projects in the domains of machine learning, natural language processing, and computational toxicology. She has published several papers in peer-reviewed journals, has been a plenary speaker, and presented several posters. Her research interests broadly concern bioinformatics, cheminformatics, data mining, and health care.

All sessions by Arwa A. Bin Raies

  • Day 3Wednesday, February 20th
Session 6 : Spotlight on Young Talent ( Chair - John Archer)
1:15 pm

Predicting multiple toxicity endpoints: Application of multi-label classification with missing labels

Identifying toxicity effects of chemicals is a necessary step in many processes including drug design. To identify associations between chemicals and toxicity effects, we applied multi-label classification (MLC) methods. These methods have not undergone comprehensive benchmarking in the domain of predictive toxicology that could help in identifying guidelines for overcoming the existing deficiencies of these methods. Therefore, we performed extensive benchmarking and analysis of ~19,000 MLC models. We demonstrated variability in the performance of these models under several conditions and determined the best performing model that achieves accuracy of 91% on an independent testing set.

Building 9 - Lecture hall 2 13:15 - 13:30 Details