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08/28/2023
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction
Electronic Health Records (EHRs) and routine documentation practices pla...
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06/08/2023
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes
The BioNLP Workshop 2023 initiated the launch of a shared task on Proble...
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06/07/2023
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning
Generative artificial intelligence (AI) is a promising direction for aug...
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03/14/2023
Progress Note Understanding – Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task
Daily progress notes are common types in the electronic health record (E...
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09/29/2022
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing
The meaningful use of electronic health records (EHR) continues to progr...
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08/17/2022
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models
Automatically summarizing patients' main problems from daily progress no...
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04/06/2022
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding
Applying methods in natural language processing on electronic health rec...
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12/07/2021
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing
Objective: to provide a scoping review of papers on clinical natural lan...
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11/26/2021
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning
In this paper, we present our work participating in the BioCreative VII ...
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05/14/2021
Classifying Long Clinical Documents with Pre-trained Transformers
Automatic phenotyping is a task of identifying cohorts of patients that ...
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10/06/2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Patient representation learning refers to learning a dense mathematical ...
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08/14/2019
Two-stage Federated Phenotyping and Patient Representation Learning
A large percentage of medical information is in unstructured text format...
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11/28/2018
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
Electronic health record (EHR) data is collected by individual instituti...
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09/10/2018
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction
There have been several recent attempts to improve the accuracy of gramm...
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05/05/2018
Learning Patient Representations from Text
Mining electronic health records for patients who satisfy a set of prede...
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02/23/2018
