Machine Learning for Exam Triage
arXiv:1805.00503v1Has Code
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for medical imaging analysis, potentially aiding in more accurate diagnosis.
The authors tackled the problem of improving medical exam triage by extending CheXNet to incorporate non-image features, resulting in better AUROC scores than the original model.
In this project, we extend the state-of-the-art CheXNet (Rajpurkar et al. [2017]) by making use of the additional non-image features in the dataset. Our model produced better AUROC scores than the original CheXNet.