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Ovarian Cancer prediction using machine learning

Principal Investigator

Name
Apurva Katti

Degrees
M.S

Institution
Florida State University

Position Title
Graduate student

Email
apurva.katti19894@gmail.com

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-448

Initial CDAS Request Approval
Jan 28, 2019

Title
Ovarian Cancer prediction using machine learning

Summary
I would want to collect all the necessary data of the patients and be able to predict if the patient is likely to suffer from ovarian cancer in the future. I am of the opinion that as of now, the researches have considered several different methods to predict cancer. I would like to try by applying machine learning techniques.If I receive both images and numerical data, I plan to combine different types of neural network.

Aims

Prediction of ovarian cancer at an early stage in a patient using machine learning
Get a overall high accuracy for the model

Collaborators

Apurva Katti
Florida State University