PREDICTING MELANOMA RISK FROM ELECTRONIC HEALTH RECORDS WITH MACHINE LEARNING TECHNIQUES
Melanoma is one of the fastest growing cancers in the world, and can affect patients earlier in life than most other cancers. Therefore, it is imperative to be able to identify patients at high risk for melanoma and enroll them in screening programs to detect the cancer early. Electronic health reco...
| Other Authors: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
Florida Atlantic University
|
| Subjects: | |
| Online Access: | http://purl.flvc.org/fau/fd/FA00013342 |