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Found 6 papers, 2 papers with code
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment
In the context of the Electronic Health Record, automated diagnosis coding of patient notes is a useful task, but a challenging one due to the large number of codes and the length of patient notes.
Query Focused Abstractive Summarization: Incorporating Query Relevance, Multi-Document Coverage, and Summary Length Constraints into seq2seq Models
Query Focused Summarization (QFS) has been addressed mostly using extractive methods.
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Query-Based Extractive Summarization
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Question Answering as an Automatic Evaluation Metric for News Article Summarization
Recent work in the field of automatic summarization and headline generation focuses on maximizing ROUGE scores for various news datasets.
Federated Multilingual Models for Medical Transcript Analysis
Federated Learning (FL) is a novel machine learning approach that allows the model trainer to access more data samples, by training the model across multiple decentralized data sources, while data access constraints are in place.
