Applied Intelligence Lead

Zina Ibrahim

Department of Biostatistics & Health Informatics

In Press or Under Review

  1. Wu, Honghan, Ibrahim, Z., Iqbal, E., Dobson, R. 2016. Encoding Medication Episodes for Adverse Drug Event Prediction. Accepted to Specialist Group in Artificial Intelligence (SGAI).

  2. Ibrahim, Z., Wu, H., Mallah, R., Dobson, R. 2016. Towards Category-Driven Rule Association Mining. Accepted to Specialist Group in Artificial Intelligence (SGAI).

  3. Ibrahim, Z., Kiddle, S., Wu, H., Kerz, M. Kovalchuck, Y., Miles, S., Dobson, R. 2016. Health-record Embedded Comparative E ectiveness Trials: a Case for Employing Multiagent Systems. Submitted to BMC Medical Informatics and Decision Making.

  4. Iqbal, E., Rhodes, D., Wu, H., Mallah, R., Romero, A., Broadbent, M., Stewart, R., Dobson, R., Ibrahim, Z. 2016. ADEPt, A Semantically Enriched Information Extraction Pipeline from Free-text Electronic Health Records: the Case of Adverse Drug Events. Submitted to the Journal of the Association for Information Science and Technology, Special Issue on Biomedical Information Retrieval.

 

2010-2016

  1. Wu, Honghan, Ibrahim, Z., Iqbal, E., Dobson, R. 2016. Predicting Adverse Events from Multiple and Dynamic Medication Episodes - a preliminary result in a large mental health registry. International Joint Conference on Artificial Intelligence (IJCAI’2016) Workshop on Knolwedge Discovery in Healthcare Data, 47-53.

  2. Iqbal, E., Ibrahim, Z., Wu, Honghan, Rhods, D. , Dobson, R. 2016. A Rulebase for Detecting Adverse Drug Reactions from Unstructured Psychiatric Clinical Text. International Joint Conference on Artificial Intelligence (IJCAI’2016) Workshop on Knolwedge Discovery in Healthcare Data, 12-18.

  3. Ibrahim, Z., Ngom, A. 2015. The relative vertex clustering value – a new criterion for the fast discovery of functional modules in protein interaction networks. BMC Bioinformatics 16(Suppl 4), S3.

  4. Iqbal,E., Mallah, R., Jackson, R., Ball, M., Ibrahim, Z., Broadbent, M. Dzahini, O., Stewart, R., Johnston, C., Dobson, R. 2015. Identi cation of adverse drug events from free text electronic patient records and Information in a large mental health case register. PLOS ONE 10(8), e0134208.

  5. Proitsi, P., Lee, SH, Lunnon, K., Ibrahim, Z., Keohane, A., Powell, J., Troakes, C., Al-Sarraj, S., Furney, S., Soininen, H., Kloszewska, I., Mecocci, P., Tsolaki, M., Vellas, B., Lovestone, S., Hodges, A. & AddNeuroMed Consortium 2014.Alzheimer’s disease susceptibility variants in the MS4A6A gene are associated with altered levels of MS4A6A expression in blood In: Neurobiology of Aging. 35(2), 279-290.

  6. Ibrahim, Z., Ngom, A., Tawfik, A. 2013. Gene Regulatory Network Identification with Qualitative Proba- bilistic Networks. Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing

    of Biological Data. Elloumi, M. & Zomaya, A. (eds.). Wiley, p. 281- 310.

  7. Lunnon*, K., Ibrahim, Z.*, Proitsi, P., Lourdusamy,A., Newhouse, S., Sattlecker, M. Furney, S., Saleem,

    M., Soininen, H., Kłoszewska, I., Mecocci, P., Tsolaki,M., Vellas, B., Coppola, G., Geschwind, D., Sim- mons, A., Lovestone, S., Dobson, R., Hodges, A. 2012. Mitochondrial dysfunction and immune activation are detectable in early Alzheimer’s disease blood. Journal of Alzheimer’s disease : Journal of Alzheimer’s Disease 30 (3), 685-710. * Equal contributions

  8. Newhouse, S., Proitsi, P., Sattlecker, M., Lunnon, K., Ibrahim, Z. , Johnston, C. 2012. Genome-wide association analysis identi es common variants associated with measures of disease progression in patients with Alzheimer’s disease. Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association 8(4), 101.

  9. Ibrahim, Z., Ngom, A., Taw k, A. 2011. Using Qualitative Probability in Constructing Gene Regulatory Networks. IEEE/ACM Transactions in Computational Biology and Bioinformatics. 8(2): 326-334, 2011.

  10. Ibrahim, Z., De La Cruz, L., Stringaris, A., Goodman, R., Lucky, M., Dobson, R. 2015. A Multi-Agent Platform for Automating the Collection of Patient-Provided Clinical Feedback. International Conference on Autonomous Agents and Multi-agent Systems (AAMAS). 831-839.

  11. Ibrahim, Z., Mallah,R., Dobson, R. 2014. Towards Using Rule-Based Multi-agent System for the Early Detection of Adverse Drug Reactions. Florida Artificial Intelligence Research Society Conference (FLAIRS). 745-753.

  12. Ibrahim, Z., Newhouse, S., Dobson, R. 2013. Detecting epistasis in the presence of linkage disequilibrium: A focused comparison. IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (IEE CIBCB). 96-103.

  13. Ibrahim, Z., Ngom, A., Tawfik, A. 2010. A dynamic qualitative probabilistic network approach for extract- ing gene regulatory network motifs. International IEEE Conference on Bioinformatics and Biomedicine (IEEE BIBM). 380-385.

 

2004-2009

  1. Ibrahim, Z., Tawfik, A. Ngom, A., 2009. Qualitative Motif Detection in Gene Regulatory Networks, International IEEE Conference on Bioinformatics and Biomedicine (IEEE BIBM). 124- 129.

  2. Ibrahim, Z., Tawfik, A. Ngom, A., 2009. A Surprise-based Qualitative Probability Calculus. The Florida Artificial Intelligence Research Society Conference (FLAIRS). 573-577.

  3. Ibrahim, Z., Tawfik, A. Ngom, A., 2009. Surprise-based Qualitative Probabilistic Networks. International Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU). 228- 239.

  4. Ibrahim, Z., Tawfik, A. Ngom, A., 2008. Qualitative Hidden Markov Models for Classifying Gene Expression Data. The International Conference of the Specialist Group on Arti cial Intelligence (SGAI) 23-34.

  5. Ibrahim, Z., Tawfik, A. Ngom, A., 2007. A Qualitative Hidden Markov Model for Spatio-temporal Rea- soning International Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2007). 707-718.

  6. Ibrahim, Z., Tawfik, A. 2007. An Abstract Theory and Ontology of Motion Based on the Regions Connection Calculus. Symposium of Abstraction, Reformulation and Approximation (SARA). 230-242.

  7. Ibrahim, Z., Tawfik, A. 2005. A Qualitative Spatio-temporal Abstraction of a Disaster Space. Symposium of Abstraction, Reformulation and Approximation (SARA). 274-281.

  8. Tawfik, A., Ibrahim, Z., Liang, D., Price, R., Li, Q., Wu, Z. 2004. A Change-based Approach to Urban Rescue. The Robocup International Symposium 12-31.

  9. Ibrahim, Z., Taw k, A. 2004. Spatiotemporal Reasoning for Vague Regions. The Canadian Conference on Artificial Intelligence (AI’04). 308-321.

  10. Ibrahim, Z., Tawfik, A. 2006. Representing Motion Uncertainty for Spatio-Temporal Vague Regions. The European Conference on Artificial Intelligence (ECAI), Workshop on Spatial and Temporal Reasoning. 27-33.