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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
arveri@kth.se

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)