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08/24/2022
Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets
Adverse Childhood Experiences (ACEs) are defined as a collection of high...
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08/24/2022
Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP
Adverse Childhood Experiences (ACEs) are defined as a collection of high...
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05/11/2022
Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes
Computational text phenotyping is the practice of identifying patients w...
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04/24/2022
Quantifying Health Inequalities Induced by Data and AI Models
AI technologies are being increasingly tested and applied in critical en...
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04/20/2022
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
The COVID-19 pandemic has been severely impacting global society since D...
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03/21/2022
Automated Clinical Coding: What, Why, and Where We Are?
Clinical coding is the task of transforming medical information in a pat...
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01/08/2022
A Unified Review of Deep Learning for Automated Medical Coding
Automated medical coding, an essential task for healthcare operation and...
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05/05/2021
Rare Disease Identification from Clinical Notes with Ontologies and Weak Supervision
The identification of rare diseases from clinical notes with Natural Lan...
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02/18/2021
A Systematic Review of Natural Language Processing Applied to Radiology Reports
NLP has a significant role in advancing healthcare and has been found to...
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11/18/2020
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
The ability to perform accurate prognosis of patients is crucial for pro...
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10/29/2020
Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
Diagnostic or procedural coding of clinical notes aims to derive a coded...
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04/03/2020
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units
Many areas of research are characterised by the deluge of large-scale hi...
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02/07/2020
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR
Multimorbidity research in mental health services requires data from phy...
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12/02/2019
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning
Current machine learning models aiming to predict sepsis from Electronic...
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03/10/2019
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification
Many efforts have been put to use automated approaches, such as natural ...
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03/10/2019