Canada

The Sustainability Of Health Economics

A Machine Learning approach to classify patients according to the KTAS system using triage information

technical paper

The Inter-University Big Data Challenge (IUBDC) is a unique inquiry-driven, experiential learning program that invites students from any undergraduate or graduate program to apply their problem-solving while gaining familiarity with the fundamentals of data science. The IUBDC fosters scientific inquiry, pioneering thinking, and a solution-focused mindset to drive innovative ideas in health economics, public health, and health supply chain management.

National Inter-University Big Data Challenge 2022 -

Please find lead student research projects in Health Economics, such as, but not limited to:

1. Strengthening the healthcare industry against economic damage through destressing the healthcare supply chain shortages.

2. Affordable Healthcare for all, where students investigate the economics behind the delivery of quality healthcare for all.

3. The economics behind public vs private healthcare systems, which one is more sustainable, and/or how they can possibly be integrated.

4. How personal and public healthcare are affected by inflation, and how to find sustainable ways to mitigate its effects.

5. Preparing for strain on healthcare systems given the discovery of new COVID-19 variants.

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https://d3smihljt9218e.cloudfront.net/transcript/45424/subtitle/9d3ceb635a86f179490b2b69914024fa.vtt

English (automatic)

A Machine Learning approach to classify patients according to the KTAS system using triage information

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A Machine Learning approach to classify patients according to the KTAS system using triage information

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Next from The Sustainability Of Health Economics

Improving Psychiatric Care wait times inCanada

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

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