Title

A pancreatic cancer detection support tool using mass spectrometry data and support vector machines

College

College of Science

Department/Unit

Mathematics and Statistics Department

Document Type

Conference Proceeding

Source Title

2020 International Conference on Artificial Intelligence and Signal Processing, AISP 2020

Publication Date

1-1-2020

Abstract

Pancreatic cancer is one of the most fatal types of cancer due to its difficulty of being diagnosed in the early stages. Presently, multiple screening procedures for this disease are required to determine its presence. In this study, a pancreatic detection support tool implementing machine learning is to be created with support vector machines (SVM) algorithm and mass spectrometry data of pancreatic cancer patients and controls as training and testing datasets. The final output would aid researchers in detecting pancreatic cancer in patients (complementing current and common procedures), and in finding biomarkers of the disease. © 2020 IEEE.

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Digitial Object Identifier (DOI)

10.1109/AISP48273.2020.9073503

Disciplines

Medicine and Health Sciences | Physical Sciences and Mathematics

Keywords

Biochemical markers; Pancreas—Cancer—Diagnosis; Mass spectrometry; Machine learning; Support vector machines

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