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Found 6 papers, 2 papers with code
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
Conclusion: Our study reveals the significant impact of domain shift and demographic factors on chest X-ray classification, emphasizing the need for improved transfer learning and equitable model development.
VISION: Toward a Standardized Process for Radiology Image Management at the National Level
The compilation and analysis of radiological images poses numerous challenges for researchers.
Question-Answering System Extracts Information on Injection Drug Use from Clinical Notes
We also demonstrate the QA model's ability to extract IDU-related information on temporally out-of-distribution data.
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics
Representation learning methods that transform encoded data (e. g., diagnosis and drug codes) into continuous vector spaces (i. e., vector embeddings) are critical for the application of deep learning in healthcare.
A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic
Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required.
