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
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.