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Bachelor's thesis project: Investigating how machine learning can be applied to predict pancreatic cancer

Principal Investigator
Name
Arvid Eriksson
Degrees
None
Institution
Royal Institute of Technology (KTH)
Position Title
Bachelor's degree student
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-916
Initial CDAS Request Approval
Feb 16, 2022
Title
Bachelor's thesis project: Investigating how machine learning can be applied to predict pancreatic cancer
Summary
A thesis project done at KTH in Sweden with the aim to investigate how machine learning can be applied to predict pancreatic cancer.
Aims

The aim is to investigate how accepted methods in machine learning can be utilized in order to predict pancreatic cancer.

Collaborators

Jonathan Erikson (KTH)