Search Results - "Ibrahim, Zina M."

The side effect profile of Clozapine in real world data of three large mental health hospitals by Iqbal, Ehtesham, Govind, Risha, Romero, Alvin, Dzahini, Olubanke, Broadbent, Matthew, Stewart, Robert, Smith, Tanya, Kim, Chi-Hun, Werbeloff, Nomi, MacCabe, James H, Dobson, Richard J B, Ibrahim, Zina M

“…Mining the data contained within Electronic Health Records (EHRs) can potentially generate a greater understanding of medication effects in the real world,…”
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ADEPt, a semantically-enriched pipeline for extracting adverse drug events from free-text electronic health records by Iqbal, Ehtesham, Mallah, Robbie, Rhodes, Daniel, Wu, Honghan, Romero, Alvin, Chang, Nynn, Dzahini, Olubanke, Pandey, Chandra, Broadbent, Matthew, Stewart, Robert, Dobson, Richard J B, Ibrahim, Zina M

“…Adverse drug events (ADEs) are unintended responses to medical treatment. They can greatly affect a patient's quality of life and present a substantial burden…”
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Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case Register by Iqbal, Ehtesham, Mallah, Robbie, Jackson, Richard George, Ball, Michael, Ibrahim, Zina M, Broadbent, Matthew, Dzahini, Olubanke, Stewart, Robert, Johnston, Caroline, Dobson, Richard J B

“…Electronic healthcare records (EHRs) are a rich source of information, with huge potential for secondary research use. The aim of this study was to develop an…”
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On classifying sepsis heterogeneity in the ICU: insight using machine learning by Ibrahim, Zina M, Wu, Honghan, Hamoud, Ahmed, Stappen, Lukas, Dobson, Richard J B, Agarossi, Andrea

“…Current machine learning models aiming to predict sepsis from electronic health records (EHR) do not account 20 for the heterogeneity of the condition despite…”
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SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research by Wu, Honghan, Toti, Giulia, Morley, Katherine I, Ibrahim, Zina M, Folarin, Amos, Jackson, Richard, Kartoglu, Ismail, Agrawal, Asha, Stringer, Clive, Gale, Darren, Gorrell, Genevieve, Roberts, Angus, Broadbent, Matthew, Stewart, Robert, Dobson, Richard J B

“…Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change…”
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Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records by Bean, Daniel M., Wu, Honghan, Iqbal, Ehtesham, Dzahini, Olubanke, Ibrahim, Zina M., Broadbent, Matthew, Stewart, Robert, Dobson, Richard J. B.

“…Unknown adverse reactions to drugs available on the market present a significant health risk and limit accurate judgement of the cost/benefit trade-off for…”
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A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data by Ibrahim, Zina M., Bean, Daniel, Searle, Thomas, Qian, Linglong, Wu, Honghan, Shek, Anthony, Kraljevic, Zeljko, Galloway, James, Norton, Sam, Teo, James T, Dobson, Richard JB

“…The ability to perform accurate prognosis is crucial for proactive clinical decision making, informed resource management and personalised care. Existing…”
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The relative vertex clustering value--a new criterion for the fast discovery of functional modules in protein interaction networks by Ibrahim, Zina M, Ngom, Alioune

“…Cellular processes are known to be modular and are realized by groups of proteins implicated in common biological functions. Such groups of proteins are called…”
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Efficient Reuse of Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: A Phenotype Embedding Approach by Wu, Honghan, Hodgson, Karen, Dyson, Sue, Morley, Katherine I, Ibrahim, Zina M, Iqbal, Ehtesham, Stewart, Robert, Dobson, Richard Jb, Sudlow, Cathie

“…Much effort has been put into the use of automated approaches, such as natural language processing (NLP), to mine or extract data from free-text medical…”
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Author Correction: Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records by Bean, Daniel M., Wu, Honghan, Iqbal, Ehtesham, Dzahini, Olubanke, Ibrahim, Zina M., Broadbent, Matthew, Stewart, Robert, Dobson, Richard J. B.

“…A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper…”
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Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks by Ibrahim, Zina M, Ngom, A, Tawfik, A Y

“…This paper demonstrates the use of qualitative probabilistic networks (QPNs) to aid Dynamic Bayesian Networks (DBNs) in the process of learning the structure…”
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Surprise: An Alternative Qualitative Uncertainty Model by Ibrahim, Zina M

“…This dissertation embodies a study of the concept of surprise as a base for constructing qualitative calculi for representing and reasoning about uncertain…”
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A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data by Ibrahim, Zina M, Bean, Daniel, Searle, Thomas, Wu, Honghan, Shek, Anthony, Kraljevic, Zeljko, Galloway, James, Norton, Sam, Teo, James T, Dobson, Richard JB

“…The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care…”
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Efficiently Reusing Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: Methodology Study by Wu, Honghan, Hodgson, Karen, Dyson, Sue, Morley, Katherine I, Ibrahim, Zina M, Iqbal, Ehtesham, Stewart, Robert, Dobson, Richard JB, Sudlow, Cathie

“…Background: Many efforts have been put into the use of automated approaches, such as natural language processing (NLP), to mine or extract data from free-text…”
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Detecting epistasis in the presence of linkage disequilibrium: A focused comparison by Ibrahim, Zina M., Newhouse, Stephen, Dobson, Richard

“…We present results from a comparison of three epistasis-detection tools using large-scale simulated genetic data: SNPHarvester, SNPRuler and Ambience. The…”
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Surprise: An Alternative Qualitative Uncertainty Model by Ibrahim, Zina M

“…This dissertation embodies a study of the concept of surprise as a base for constructing qualitative calculi for representing and reasoning about uncertain…”
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Qualitative Motif Detection in Gene Regulatory Networks by Ibrahim, Z.M., Tawfik, A.Y., Ngom, A.

“…This paper motivates the use of qualitative probabilistic networks (QPNs) in conjunction with or in lieu of Bayesian Networks (BNs) for reconstructing gene…”
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A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs by Ibrahim, Z M, Ngom, A, Tawfik, A Y

“…This paper extends our work to using qualitative probability to model the naturally-occurring motifs of gene regulatory networks. Having showed in [16] that…”
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