Search Results for author:
Found 6 papers, 3 papers with code
Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding
We propose data augmentation and synthesis techniques in order to address these scenarios.
Can GPT-3.5 Generate and Code Discharge Summaries?
Neural coding models were trained on baseline and augmented data and evaluated on a MIMIC-IV test set.
Automated Clinical Coding: What, Why, and Where We Are?
Knowledge-based methods that represent and reason the standard, explainable process of a task may need to be incorporated into deep learning-based methods for clinical coding.
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification
We propose a set of metrics for hierarchical evaluation using the depth-based representation.
Multi Label Text Classification
Multi-Label Text Classification
+1
Paying Per-label Attention for Multi-label Extraction from Radiology Reports
Training medical image analysis models requires large amounts of expertly annotated data which is time-consuming and expensive to obtain.
Language Transfer for Early Warning of Epidemics from Social Media
However, the data required to train models for every language may be difficult, expensive and time-consuming to obtain, particularly for low-resource languages.
