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Asra Aslam

As seen in: arXiv, medRxiv
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Articles by Asra Aslam

Computer Science > Computer Vision and Pattern Recognition

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By Asra Aslam, Aditya Shribhagwan, Mohammad Samar Ansari
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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An Automation Framework for Clinical Codelist Development Validated with UK Data from Patients with Multiple Long-term Conditions

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By Asra Aslam, Lauren Walker, Micheal Abaho, Harriet Cant
| medRxiv
The authors have declared no competing interest. DynAIRx has been funded by the National Institute for Health and Care Research (NIHR) Artificial Intelligence for Multiple Long-Term Conditions (AIM) call (NIHR 203986). MG is partly funded by the NIHR Applied Research Collaboration North West Coast (ARC NWC). This research is supported by the NIHR ARC NWC.
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DynAIRx: Dynamic AI for Optimising Prescriptions

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By Asra Aslam
| zenodo.org
Published December 19, 2023 | Version v1 Presentation Open This lightning talk was  part of the ECR Day event, organised by AIM RSF and held on the 23rd of November at the Alan Turing Institute. For more details about the event, you can visit the GitHub repository at https://github.com/aim-rsf/ecr-day.
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WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference

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By Sunnie S. Y, Marah Halawa, Asra Aslam, Ivaxi Sheth
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (532) Issue with article?
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