Zina M. Ibrahim

Orcid: 0000-0001-6203-2727

Affiliations:
  • King's College London, UK


According to our database1, Zina M. Ibrahim authored at least 45 papers between 2004 and 2024.

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Bibliography

2024
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation.
CoRR, 2024

TSI-Bench: Benchmarking Time Series Imputation.
CoRR, 2024

Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation.
CoRR, 2024

Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation.
CoRR, 2024

2023
Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models.
J. Biomed. Informatics, May, 2023

Knowledge Enhanced Conditional Imputation for Healthcare Time-series.
CoRR, 2023

Exploring Multimodal Large Language Models for Radiology Report Error-checking.
CoRR, 2023

Addressing Class Imbalance in Electronic Health Records Data Imputation.
Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

2022
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.
IEEE J. Biomed. Health Informatics, 2022

GEOexplorer: a webserver for gene expression analysis and visualisation.
Nucleic Acids Res., 2022

Evaluating physical urban features in several mental illnesses using electronic health record data.
Frontiers Digit. Health, 2022

Summarisation of Electronic Health Records with Clinical Concept Guidance.
CoRR, 2022

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021
Estimating redundancy in clinical text.
J. Biomed. Informatics, 2021

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.
J. Am. Medical Informatics Assoc., 2021

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.
Artif. Intell. Medicine, 2021

2020
On classifying sepsis heterogeneity in the ICU: insight using machine learning.
J. Am. Medical Informatics Assoc., 2020

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data.
CoRR, 2020

Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR.
CoRR, 2020

The side effect profile of Clozapine in real world data of three large mental hospitals.
CoRR, 2020

Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset.
Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing, 2020

2019
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification.
CoRR, 2019

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

2018
SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.
J. Am. Medical Informatics Assoc., 2018

2017
Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses.
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Improving RNN with Attention and Embedding for Adverse Drug Reactions.
Proceedings of the 2017 International Conference on Digital Health, 2017

2016
Encoding Medication Episodes for Adverse Drug Event Prediction.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Category-Driven Association Rule Mining.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015
The relative vertex clustering value - a new criterion for the fast discovery of functional modules in protein interaction networks.
BMC Bioinform., 2015

A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

2013
Detecting epistasis in the presence of linkage disequilibrium: A focused comparison.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2013

2011
Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010
A Surprise-Based Qualitative Probability Calculus II.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
A Surprise-based Qualitative Calculus.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

Surprise-Based Qualitative Probabilistic Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Qualitative Motif Detection in Gene Regulatory Networks.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
Qualitative Hidden Markov Models for Classifying Gene Expression Data.
Proceedings of the Research and Development in Intelligent Systems XXV, 2008

2007
An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus.
Proceedings of the Abstraction, 2007

A Qualitative Hidden Markov Model for Spatio-temporal Reasoning.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2005
A Qualitative Spatio-temporal Abstraction of a Disaster Space.
Proceedings of the Abstraction, 2005

2004
Spatio-temporal Reasoning for Vague Regions.
Proceedings of the Advances in Artificial Intelligence, 2004


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