arXiv Machine Learning By Sonath Kirindage, Vihanga Nimsara, Sakindu Rajapaksa, Kavyanga Hathurusinghe, Lahiru Dilshan, Subavarshana Arumugam, Nathali Athukorala, Sandareka Wickramanayake, Nisansa de Silva

Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka

Read the original on arXiv Machine Learning →

arXiv:2606. 29889v1 Announce Type: new Abstract: Timely intensive care dictates survival, yet emergency infrastructure remains unevenly distributed across Sri Lanka.

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arXiv Machine Learning
Jul 7

Environmental Drivers of Respiratory Disease: A District Level Analysis

arXiv:2607. 04416v1 Announce Type: new Abstract: Sri Lanka has experienced a decade of progressive forest degradation and rising atmospheric pollution, yet district-level respiratory admissions have paradoxically declined, pointing to the confounding role of healthcare access.

By Rahim Iqbal, Asfi Ahamed, Izzath Nisfer, Shazan Shaheed, Muhammadu Ilham, Nathali Athukorala, Madara Mendis, Nisansa de Silva, Sandareka Wickramanayake
arXiv AI
Aug 11

Communication-efficient distributed hazard difference estimation for heterogeneous multi-site survival data

arXiv:2601. 14609v2 Announce Type: replace-cross Abstract: Multi-site collaboration can power survival models that no single hospital could fit alone, but privacy rules and protected computing environments block patient-level data sharing and the persistent server connections required by iterative federated methods.

By Ziwen Wang, Siqi Li, Marcus Eng Hock Ong, Nan Liu