2.9k citations · 3.1k across the 14 of their papers we have counts for
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Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
Shaoxiong Ji, Pekka Marttinen
Multitask deep learning has been applied to patient outcome prediction from text, taking clinical notes as input and training deep neural networks with a joint loss function of mul…
Multitask Balanced and Recalibrated Network for Medical Code Prediction
Wei Sun, Shaoxiong Ji, Erik Cambria +1
Human coders assign standardized medical codes to clinical documents generated during patients' hospitalization, which is error-prone and labor-intensive. Automated medical coding…
Multitask Recalibrated Aggregation Network for Medical Code Prediction
Wei Sun, Shaoxiong Ji, Erik Cambria +1
Medical coding translates professionally written medical reports into standardized codes, which is an essential part of medical information systems and health insurance reimburseme…
Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study
Shaoxiong Ji, Matti Hölttä, Pekka Marttinen
Unsupervised pretraining is an integral part of many natural language processing systems, and transfer learning with language models has achieved remarkable results in many downstr…