A Hybridized machine learning based survival prediction of ovarian cyst

Principal Investigator

Name
Ovoh Oghenefego

Degrees
B.Sc., M.Sc.,

Institution
Delta State University Abraka

Position Title
Doctorate Student

Email
fegi2020.foh@gmail.com

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-1740

Initial CDAS Request Approval
Nov 12, 2024

Title
A Hybridized machine learning based survival prediction of ovarian cyst

Summary
This project is designed to apply machine learning algorithms for the prediction of the rate and probability of surviving ovarian cyst surgery and treatment. The research intends to apply textual dataset for the training of the machine learning algorithms that will be adopted for the research.

Aims

To obtain an ovarian cyst dataset that is textual
To analyse ovarian cyst dataset
To Hybridized machine learning algorithms for the prediction of ovarian cyst survival
To deploy the Hybridized model on a web interface

Collaborators

Dr (Mrs) Akazue M.I.
Dr Chete
Hampo, J.A.C.