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ORCIDZina M. Ibrahim
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- affiliation: King's College London, UK
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2020 – today
- 2024
[i17]Linglong Qian, Zina M. Ibrahim, Richard J. B. Dobson:
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation. CoRR abs/2401.02258 (2024)- [i16]Linglong Qian, Zina M. Ibrahim, Wenjie Du, Yiyuan Yang, Richard J. B. Dobson:
Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation. CoRR abs/2405.17508 (2024) - [i15]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 abs/2406.12747 (2024) - [i14]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 abs/2407.08442 (2024) - 2023
- [j11]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: 104358 (2023) - [c23]Linglong Qian, Zina M. Ibrahim, Ao Zhang, Richard J. B. Dobson:
Addressing Class Imbalance in Electronic Health Records Data Imputation. KDH@IJCAI 2023 - [e3]Zina M. Ibrahim, Honghan Wu, Nirmalie Wiratunga:
Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, China, August 20, 2023. CEUR Workshop Proceedings 3479, CEUR-WS.org 2023 [contents] - [i13]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 abs/2312.13103 (2023) - [i12]Linglong Qian, Zina M. Ibrahim, Hugh Logan Ellis, Ao Zhang, Yuezhou Zhang, Tao Wang, Richard J. B. Dobson:
Knowledge Enhanced Conditional Imputation for Healthcare Time-series. CoRR abs/2312.16713 (2023) - 2022
- [j10]Zahra Mahabadi, Maryam Mahabadi, Sumithra Velupillai, Angus Roberts, Philip K. McGuire, Zina M. Ibrahim, Rashmi Patel:
Evaluating physical urban features in several mental illnesses using electronic health record data. Frontiers Digit. Health 4 (2022) - [j9]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): 367-374 (2022) - [j8]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): 423-435 (2022) - [c22]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: 26-35 - [i11]Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Summarisation of Electronic Health Records with Clinical Concept Guidance. CoRR abs/2211.07126 (2022) - 2021
- [j7]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: 102083 (2021) - [j6]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): 791-800 (2021) - [j5]Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Estimating redundancy in clinical text. J. Biomed. Informatics 124: 103938 (2021) - [i10]Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson:
Estimating Redundancy in Clinical Text. CoRR abs/2105.11832 (2021) - 2020
- [j4]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): 437-443 (2020) - [c21]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: 76-85 - [c20]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: 1826-1833 - [c19]Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson:
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. INTERSPEECH 2020: 2192-2196 - [i9]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 abs/2001.09698 (2020) - [i8]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 abs/2002.08901 (2020) - [i7]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 abs/2004.01431 (2020) - [i6]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 abs/2006.07332 (2020) - [i5]Thomas Searle, Zina M. Ibrahim, Richard J. B. Dobson:
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech. CoRR abs/2006.07358 (2020) - [i4]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 abs/2010.01165 (2020) - [i3]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 abs/2011.09361 (2020)
2010 – 2019
- 2019
- [c18]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. KDH@IJCAI 2019: 60-67 - [i2]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 abs/1903.03995 (2019) - [i1]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 abs/1912.00672 (2019) - 2018
- [j3]Honghan Wu, Giulia Toti, Katherine I. Morley, Zina M. Ibrahim, Amos Folarin, Richard G. Jackson, Ismail Emre 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): 530-537 (2018) - [e2]Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu:
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Schweden, July 13, 2018. CEUR Workshop Proceedings 2148, CEUR-WS.org 2018 [contents] - 2017
- [c17]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: 67-71 - [c16]Christopher Ormandy, Zina M. Ibrahim, Richard J. B. Dobson:
Learning Patient Similarity Using Joint Distributed Embeddings of Treatment and Diagnoses. KDH@IJCAI 2017: 30-35 - [e1]Zina M. Ibrahim, Honghan Wu, Kerstin Bach, Richard J. B. Dobson, Spiros C. Denaxas, Nirmalie Wiratunga, Stewart Massie, Sadiq Sani:
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), Melbourne, Australia, August 20, 2017. CEUR Workshop Proceedings 1891, CEUR-WS.org 2017 [contents] - 2016
- [c15]Zina M. Ibrahim, Honghan Wu, Robbie Mallah, Richard J. B. Dobson:
Category-Driven Association Rule Mining. SGAI Conf. 2016: 21-35 - [c14]Honghan Wu, Zina M. Ibrahim, Ehtesham Iqbal, Richard J. B. Dobson:
Encoding Medication Episodes for Adverse Drug Event Prediction. SGAI Conf. 2016: 245-250 - 2015
- [j2]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): S3 (2015) - [c13]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: 831-839 - 2014
- [c12]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 2014 - 2013
- [c11]Zina M. Ibrahim, Stephen Newhouse, Richard J. B. Dobson:
Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. CIBCB 2013: 96-103 - 2011
- [j1]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): 326-334 (2011) - 2010
- [c10]Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik:
A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs. BIBM 2010: 380-385 - [c9]Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom:
A Surprise-Based Qualitative Probability Calculus II. FLAIRS 2010
2000 – 2009
- 2009
- [c8]Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom:
Qualitative Motif Detection in Gene Regulatory Networks. BIBM 2009: 124-129 - [c7]Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom:
Surprise-Based Qualitative Probabilistic Networks. ECSQARU 2009: 228-239 - [c6]Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom:
A Surprise-based Qualitative Calculus. FLAIRS 2009 - 2008
- [c5]Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom:
Qualitative Hidden Markov Models for Classifying Gene Expression Data. SGAI Conf. 2008: 47-60 - 2007
- [c4]Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom:
A Qualitative Hidden Markov Model for Spatio-temporal Reasoning. ECSQARU 2007: 707-718 - [c3]Zina M. Ibrahim, Ahmed Y. Tawfik:
An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus. SARA 2007: 230-242 - 2005
- [c2]Zina M. Ibrahim, Ahmed Y. Tawfik:
A Qualitative Spatio-temporal Abstraction of a Disaster Space. SARA 2005: 274-281 - 2004
- [c1]Zina M. Ibrahim, Ahmed Y. Tawfik:
Spatio-temporal Reasoning for Vague Regions. Canadian AI 2004: 308-321
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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