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Quantum Kernels for Health Sciences Data: Reproducibility and Variability Challenge – a look at outliers

March 7 at 4:35 pm
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  • Case Studies
  • Track 1
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In this presentation, we delve into the use of quantum kernels for data analysis in the health sciences. We address the critical issue of reproducibility inherent in quantum kernels and discuss the challenges of variability posed by small datasets. Our exploration aims to provide insights into and potential solutions for these challenges within the realm of quantum computing as applied to health sciences. We specifically examine data outliers and their connection to key metrics.
Zoran Krunic, Senior Manager Data Science, Amgen
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Featured Speaker(s):
Zoran Krunic

Zoran Krunic

Sr. Manager Data Science Amgen
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Quantum Kernels for Health Sciences Data: Reproducibility and Variability Challenge – a look at outliers

March 7 @ 4:35 pm - 4:55 pm

Event Series Event Series (See All)
Featured Speaker(s):
Zoran Krunic

Zoran Krunic

Sr. Manager Data Science Amgen

In this presentation, we delve into the use of quantum kernels for data analysis in the health sciences. We address the critical issue of reproducibility inherent in quantum kernels and discuss the challenges of variability posed by small datasets. Our exploration aims to provide insights into and potential solutions for these challenges within the realm of quantum computing as applied to health sciences. We specifically examine data outliers and their connection to key metrics.

Zoran Krunic, Senior Manager Data Science, Amgen

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Date:
March 7
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4:35 pm - 4:55 pm
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Case Studies
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