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Personal profile

Biography

Rabia received her PhD degree in Health Innovation at Centre for Health Informatics (AIHI), Macquarie University in 2019. Her PhD candidature was funded by International Macquarie University Research Excellence Scholarship (iMQRES). Her PhD research focuses on looking the inefficiencies in systematic reviews ecosystem. Using software engineering principles as a lens through which to examine the issues of systematic reviews, her research is based on improving the transparency, completeness, and efficiency of systematic review ecosystem to reduce the waste in clinical research. In her research, she used natural language processing methods for the extraction of systematic reviews data, and machine learning for classification tasks. Rabia’s research interests include software engineering, clinical health informatics and machine learning. Currently, she is honorary postdoctoral fellow at Centre for Health Informatics.

Education/Academic qualification

Computer Science, BS, Federal Urdu University of Arts, Science and Technology, Islamabad,Pakistan

Health Innovation, PhD, Macquarie University

Computer Software Engineering, MRes, National University of Sciences and Technology Pakistan

Fingerprint Dive into the research topics where Rabia Bashir is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 12 Similar Profiles
Clinical Trials Medicine & Life Sciences
Databases Medicine & Life Sciences
Registries Medicine & Life Sciences
Publications Medicine & Life Sciences
Crowdsourcing Medicine & Life Sciences
Decision Trees Medicine & Life Sciences
Bibliographic Databases Medicine & Life Sciences
Software Medicine & Life Sciences

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Research Outputs 2016 2019

  • 61 Citations
  • 3 h-Index
  • 8 Article
  • 1 Abstract
  • 1 Meeting abstract

Software engineering principles address current problems in the systematic review ecosystem

Bashir, R. & Dunn, A. G., 1 May 2019, In : Journal of Clinical Epidemiology. 109, p. 136-141 6 p.

Research output: Contribution to journalArticleResearchpeer-review

Ecosystem
Software
Technology
Area Under Curve
Learning
Databases
ROC Curve
Machine Learning

Trial2rev: combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews

Martin, P., Surian, D., Bashir, R., Bourgeois, F. T. & Dunn, A. G., Apr 2019, In : JAMIA Open. 2, 1, p. 15-22 8 p., ooy062.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Crowdsourcing
Databases
Boidae
Bibliographic Databases
Politics

An empirically defined decision tree to predict systematic reviews at risk of change in conclusion

Bashir, R., Surian, D. & Dunn, A. G., Sep 2018, In : Cochrane Database of Systematic Reviews. 9, Supplement 1, p. 122-123 2 p.

Research output: Contribution to journalMeeting abstractResearch

Decision Trees
Research Personnel
Safety

A shared latent space matrix factorisation method for recommending new trial evidence for systematic review updates

Surian, D., Dunn, A. G., Orenstein, L., Bashir, R., Coiera, E. & Bourgeois, F. T., 1 Mar 2018, In : Journal of Biomedical Informatics. 79, p. 32-40 9 p.

Research output: Contribution to journalArticleResearchpeer-review

Factorization
Clinical Trials
Type 2 Diabetes Mellitus
Principal Component Analysis
Workload