Melanoma Data Analysis2

Principal Investigator

Name
Hovig Devejian

Degrees
B.S. Computer Science

Institution
FSU

Position Title
Data Scientist

Email
hdevejian@gmail.com

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCO-253

Initial CDAS Request Approval
Jan 24, 2017

Title
Melanoma Data Analysis2

Summary
This analysis is primarily aimed toward data mining, to find correlations between Melanoma and the data measured by each participant. The data mining will uncover some statistical truths that I hope will be applied toward understanding of risk factors (i.e. avoidance), survivability (i.e. engagement / sustainability). What is uncovered will determine the next course of analytics. The data to be examined should comprise of any data directly or indirectly related to Melanoma (e.g. melanoma participant diet data, survey questionnaire, etc.). Each feature of the dataset provided will be scrutinized algorithmically to model and better understand what Melanoma is.

Aims

The immediate aim of this study is to:
- Understand Melanoma through participant data.

The long term goals are:
- help prevent Melanoma
- discover earlier detection

Collaborators

Hovig Devejian FSU