Sara Khalid

According to our database, Sara Khalid authored at least 11 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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.

Elzo Pereira Pinto Junior, Priscilla Normando, Renzo Flores-Ortiz, Muhammad Usman Afzal, Muhammad Asaad Jamil, Sergio Fernández-Bertolín, Vinícius de Araújo Oliveira, Valentina Martufi, Fernanda de Sousa, Amir Bashir, Edward Burn, Maria Yury Ichihara, Maurício Lima Barreto, Talita Duarte-Salles, Daniel Prieto-Alhambra, Haroon Hafeez, Sara Khalid

J. Am. Medical Informatics Assoc., March, 2023

Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning.

Usman Nazir, Murtaza Taj, Momin Uppal, Sara Khalid

CoRR, 2023

Machine Learning for Risk Factor Identification and Cardiovascular Mortality Prediction Among Patients with Osteoporosis.

Seyed Alireza Hasheminasab, Daniel Prieto-Alhambra, Marta Pineda-Moncusi, Sara Khalid

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.

Marta Pineda-Moncusi, Victoria Y. Strauss, Danielle E. Robinson, Daniel Prieto-Alhambra, Sara Khalid

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.

Sara Khalid, Cynthia Yang, Clair Blacketer, Talita Duarte-Salles, Sergio Fernández-Bertolín, Chungsoo Kim, Rae Woong Park, Jimyung Park, Martijn J. Schuemie, Anthony G. Sena, Marc A. Suchard, Seng Chan You, Peter R. Rijnbeek, Jenna Marie Reps

Comput. Methods Programs Biomed., 2021

2018

Cluster Analysis to Detect Patterns of Drug Use from Routinely Collected Medical Data.

Sara Khalid, M. Sanni Ali, Daniel Prieto-Alhambra

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.

Sara Khalid, Andrew Judge, Rafael Pinedo-Villanueva

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2013

A 5.2nV/√Hz noise density third-order FDNR filter for DVB-H mobile-TV receiver.

Soliman A. Mahmoud, Aisha Abdallah, Sara Khalid

Proceedings of the 20th IEEE International Conference on Electronics, 2013

A Bayesian Patient-Based Model for Detecting Deterioration in Vital Signs Using Manual Observations.

Sara Khalid, David A. Clifton, Lionel Tarassenko

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.

Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko

IEEE Trans. Inf. Technol. Biomed., 2012

2011

Optimising Classifiers for the Detection of Physiological Deterioration in Patient Vital-sign Data.

Sara Khalid, David A. Clifton, Lei A. Clifton, Lionel Tarassenko

Proceedings of the BIOSIGNALS 2011, 2011