Drug-Drug Interaction Extraction from Drug Labels

Drug Drug interaction information extraction is important yet a complex task. Interaction between two administered drugs could lead to minor side effects or a major health threatening condition. Such types of adverse effects is found to be 8th leading cause of death is us as per apaper published in Internet Scientific Journals Goldstein et al. (2005). We plan on leveraging computational linguistics techniques paired with deep learning techniques to identify whether 2 drugs when administered to the same patient in the same time frame would cause any unexpected reactions.Currently we are looking at various deep learning techniques such as LSTM’s, RNN’s etc.

Supervised by Prof Jungyeul Park