research
∙
07/16/2023
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant
Recent studies have demonstrated promising performance of ChatGPT and GP...
share
research
∙
05/24/2022
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint
Structured (tabular) data in the preclinical and clinical domains contai...
research
∙
05/18/2022
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases
Clinicians may rely on medical coding systems such as International Clas...
research
∙
04/19/2022
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge
Extracting phenotypes from clinical text has been shown to be useful for...
research
∙
09/04/2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case
Contextualised word embeddings is a powerful tool to detect contextual s...
research
∙
07/24/2021
Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
Clinical notes contain information not present elsewhere, including drug...
research
∙
12/18/2019
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Recent work pre-training Transformers with self-supervised objectives on...
research
∙
11/10/2019
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
The extraction of phenotype information which is naturally contained in ...
research
∙
08/17/2019
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification
Different aspects of a clinical sample can be revealed by multiple types...
research
∙
03/29/2019
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
Insufficient or even unavailable training data of emerging classes is a ...
research
∙
06/13/2018
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Predicting traffic conditions from online route queries is a challenging...
research
∙
03/27/2017
Deep Poincare Map For Robust Medical Image Segmentation
Precise segmentation is a prerequisite for an accurate quantification of...
research
∙
03/20/2017