← Back to papers
2020 AAAI AAAI 2020

Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract)

Abstract

Abstract We built a natural language processing (NLP) language model that can be used to extract cancer treatment information using structured and unstructured electronic medical records (EMR). Our work appears to be the first that combines EMR and NLP for treatment identification.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Machine Learning
🐣 Hot Topic Early Bird — electronic health record
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Jiaming Zeng , Imon Banerjee , Michael Gensheimer , Daniel Rubin

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Core Methods > Classification

Keywords

natural language processing text classification information extraction electronic health record
Download PDF

Related papers

Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions 2020
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning 2020
Neural Simile Recognition with Cyclic Multitask Learning and Local Attention 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy 2020
Multi-Point Semantic Representation for Intent Classification 2020