Sara Khalid
Orcid: 0000-0002-2845-5731
According to our database1,
Sara Khalid
authored at least 13 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review.
CoRR, 2024
A Robust Intelligent System for Text-Based Traffic Signs Detection and Recognition in Challenging Weather Conditions.
IEEE Access, 2024
2023
Integrating real-world data from Brazil and Pakistan into the OMOP common data model and standardized health analytics framework to characterize COVID-19 in the Global South.
J. Am. Medical Informatics Assoc., March, 2023
Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning.
CoRR, 2023
Machine Learning for Risk Factor Identification and Cardiovascular Mortality Prediction Among Patients with Osteoporosis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Unsupervised Learning to Understand Patterns of Comorbidity in 633, 330 Patients Diagnosed with Osteoarthritis.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022
2021
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data.
Comput. Methods Programs Biomed., 2021
2018
Cluster Analysis to Detect Patterns of Drug Use from Routinely Collected Medical Data.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
An Unsupervised Learning Model for Pattern Recognition in Routinely Collected Healthcare Data.
Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018
2013
Proceedings of the 20th IEEE International Conference on Electronics, 2013
A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations.
Proceedings of the Foundations of Health Information Engineering and Systems, 2013
2012
A Two-Class Approach to the Detection of Physiological Deterioration in Patient Vital Signs, With Clinical Label Refinement.
IEEE Trans. Inf. Technol. Biomed., 2012
2011
Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data.
Proceedings of the BIOSIGNALS 2011, 2011