Melanoma Data Analysis2
Principal Investigator
Name
Hovig Devejian
Degrees
B.S. Computer Science
Institution
FSU
Position Title
Data Scientist
Email
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