Search Results for author:
Found 9 papers, 4 papers with code
Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports
Our analysis finds that our rule-based system outperforms the neural models on both datasets and seems to generalise to the out-of-sample dataset.
Ontology-Driven and Weakly Supervised Rare Disease Identification from Clinical Notes
Computational text phenotyping is the practice of identifying patients with certain disorders and traits from clinical notes.
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.
A Systematic Review of Natural Language Processing Applied to Radiology Reports
Understanding recent developments in NLP application to radiology is of significance but recent reviews on this are limited.
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
LE initialisation consistently boosted most deep learning models for automated medical coding.
Ranked #1 on
Multi-Label Text Classification
on MIMIC-III
FastPET: Near Real-Time PET Reconstruction from Histo-Images Using a Neural Network
Direct reconstruction of positron emission tomography (PET) data using deep neural networks is a growing field of research.
CNN-Based PET Sinogram Repair to Mitigate Defective Block Detectors
Positron emission tomography (PET) scanners continue to increase sensitivity and axial coverage by adding an ever expanding array of block detectors.
DirectPET: Full Size Neural Network PET Reconstruction from Sinogram Data
Results: DirectPET is shown capable of producing images that are quantitatively and qualitatively similar to the OSEM target images in a fraction of the time.
Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches
This work investigates multiple approaches to Named Entity Recognition (NER) for text in Electronic Health Record (EHR) data.
