Zina M. Ibrahim

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 36

Top Topics

Natural Language Processing

Protein Interaction Networks

Intensive Care Units

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra, Richard J. B. Dobson, Zina M. Ibrahim
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation. CoRR (2024)
Linglong Qian, Zina M. Ibrahim, Wenjie Du, Yiyuan Yang, Richard J. B. Dobson
Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. CoRR (2024)
Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. CoRR (2024)
Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
TSI-Bench: Benchmarking Time Series Imputation. CoRR (2024)
Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson
Addressing Class Imbalance in Electronic Health Records Data Imputation. KDH@IJCAI (2023)
Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard Dobson
Knowledge Enhanced Conditional Imputation for Healthcare Time-series. CoRR (2023)
Jinge Wu, Yunsoo Kim, Eva C. Keller, Jamie Chow, Adam P. Levine, Nikolas Pontikos, Zina M. Ibrahim, Paul Taylor, Michelle C. Williams, Honghan Wu
Exploring Multimodal Large Language Models for Radiology Report Error-checking. CoRR (2023)
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models. J. Biomed. Informatics 141 (2023)
Zahra Mahabadi, Maryam Mahabadi, Sumithra Velupillai, Angus Roberts, Philip McGuire, Zina M. Ibrahim, Rashmi Patel
Evaluating physical urban features in several mental illnesses using electronic health record data. Frontiers Digit. Health 4 (2022)
Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson, Alistair A. Young
Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. STACOM@MICCAI (2022)
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
Summarisation of Electronic Health Records with Clinical Concept Guidance. CoRR (2022)
Guy P. Hunt, Luigi Grassi, Rafael Henkin, Fabrizio Smeraldi, Thomas P. Spargo, Renata Kabiljo, Sulev Koks, Zina M. Ibrahim, Richard J. B. Dobson, Ammar Al-Chalabi, Michael R. Barnes, Alfredo Iacoangeli
GEOexplorer: a webserver for gene expression analysis and visualisation. Nucleic Acids Res. 50 (W1) (2022)
Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie
Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2. J. Am. Medical Informatics Assoc. 28 (4) (2021)
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
Estimating redundancy in clinical text. J. Biomed. Informatics 124 (2021)
Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
Estimating Redundancy in Clinical Text. CoRR (2021)
Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit. Artif. Intell. Medicine 117 (2021)
Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. CoRR (2020)
Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. BioNLP (2020)
Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. CoRR (2020)
Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data. CoRR (2020)
Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson
Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit. CoRR (2020)
Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset. CoRR (2020)
Rebecca Bendayan, Honghan Wu, Zeljko Kraljevic, Robert Stewart, Tom Searle, Jaya Chaturvedi, Jayati Das-Munshi, Zina M. Ibrahim, Aurelie Mascio, Angus Roberts, Daniel Bean, Richard J. B. Dobson
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR. CoRR (2020)
Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
On classifying sepsis heterogeneity in the ICU: insight using machine learning. J. Am. Medical Informatics Assoc. 27 (3) (2020)
Ehtesham Iqbal, Risha Govind, Alvin Romero, Olubanke Dzahini, Matthew T. W. Broadbent, Robert Stewart, Tanya Smith, Chi-Hun Kim, Nomi Werbeloff, Richard J. B. Dobson, Zina M. Ibrahim
The side effect profile of Clozapine in real world data of three large mental hospitals. CoRR (2020)
Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. INTERSPEECH (2020)
Zina M. Ibrahim, Honghan Wu, Richard J. B. Dobson
Modeling Rare Interactions in Time Series Data Through Qualitative Change: Application to Outcome Prediction in Intensive Care Units. ECAI (2020)
Zina M. Ibrahim, Honghan Wu, Ahmed Hamoud, Lukas Stappen, Richard J. B. Dobson, Andrea Agarossi
On Classifying Sepsis Heterogeneity in the ICU: Insight Using Machine Learning. CoRR (2019)
Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen J. McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri
Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. KHD@IJCAI (2019)
Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard J. B. Dobson, Cathie Sudlow
Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification. CoRR (2019)
Honghan Wu, Giulia Toti, Katherine I. Morley, Zina M. Ibrahim, Amos Folarin, Richard G. Jackson, Ismail Kartoglu, Asha Agrawal, Clive Stringer, Darren Gale, Genevieve Gorrell, Angus Roberts, Matthew T. M. Broadbent, Robert Stewart, Richard J. B. Dobson
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. 25 (5) (2018)
Christopher Ormandy, Zina M. Ibrahim, Richard J. B. Dobson
Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses. KHD@IJCAI (2017)
Chandra Pandey, Zina M. Ibrahim, Honghan Wu, Ehtesham Iqbal, Richard J. B. Dobson
Improving RNN with Attention and Embedding for Adverse Drug Reactions. DH (2017)
Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson
Encoding Medication Episodes for Adverse Drug Event Prediction. SGAI Conf. (2016)
Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson
Category-Driven Association Rule Mining. SGAI Conf. (2016)
Zina M. Ibrahim, Alioune Ngom
The relative vertex clustering value - a new criterion for the fast discovery of functional modules in protein interaction networks. BMC Bioinform. 16 (S-4) (2015)
Zina M. Ibrahim, Lorena Fernández de la Cruz, Argyris K. Stringaris, Robert Goodman, Michael Luck, Richard J. B. Dobson
A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback. AAMAS (2015)
Zina M. Ibrahim, Robbie Mallah, Richard J. B. Dobson
Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions. FLAIRS Conference (2014)
Zina M. Ibrahim, Stephen Newhouse, Richard J. B. Dobson
Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. CIBCB (2013)
Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik
Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (2) (2011)
Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik
A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs. BIBM (2010)
Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
A Surprise-Based Qualitative Probability Calculus II. FLAIRS Conference (2010)
Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
A Surprise-based Qualitative Calculus. FLAIRS Conference (2009)
Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
Surprise-Based Qualitative Probabilistic Networks. ECSQARU (2009)
Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
Qualitative Motif Detection in Gene Regulatory Networks. BIBM (2009)
Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
Qualitative Hidden Markov Models for Classifying Gene Expression Data. SGAI Conf. (2008)
Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom
A Qualitative Hidden Markov Model for Spatio-temporal Reasoning. ECSQARU (2007)
Zina M. Ibrahim, Ahmed Y. Tawfik
An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus. SARA (2007)
Zina M. Ibrahim, Ahmed Y. Tawfik
A Qualitative Spatio-temporal Abstraction of a Disaster Space. SARA (2005)
Zina M. Ibrahim, Ahmed Y. Tawfik
Spatio-temporal Reasoning for Vague Regions. Canadian Conference on AI (2004)