Cancer risk prediction for self evaluation to create cancer awareness
Principal Investigator
Name
Loise Mwarangu
Degrees
Bsc Statistics
Institution
Artificial Intelligence Center for Excellence
Position Title
Data Scientist/ Research and Development
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-993
Initial CDAS Request Approval
Jul 1, 2022
Title
Cancer risk prediction for self evaluation to create cancer awareness
Summary
The project aiBased on our research, we came across findings that showed the relationship between lifestyle and various cancer types for example: Individuals who have had a prolonged smoking habit tend to have a higher risk of developing lung cancer. In addition to this, many individuals are not aware of their cancer risk status which means that they do not take necessary precautions to mitigate the risk. Such information encouraged us to develop a solution to solve this problem. This will ensure that individuals seek medical attention soon enough which would avoid late diagnoses.
Aims
We aim to use artificial intelligence to identify the correlations between cancer risk levels and different lifestyle choices. This will provide a more appropriate form of cancer awareness that is backed up by data. We will train a model to identify various lifestyle data points and how they contribute to the cancer status. We would then use this to determine cancer risk based on lifestyle choices. From the algorithm's output, we will provide recommendations to educate individuals of such lifestyle traces and how they can change their habits to lower their cancer risk.ms to find the link between lifestyle and cancer risk.
Collaborators
Joel Osebe -Data Scientist(AICE)