Breast cancer survivability prediction using labeled, unlabeled, and pseudo-labeled patient data.
Prognostic studies of breast cancer survivability have been aided by machine learning algorithms, which can predict the survival of a particular patient based on historical patient data. However, it is not easy to collect labeled patient records. It takes at least 5 years to label a patient record as 'survived' or 'not survived'. Unguided trials of numerous types of oncology therapies are also very expensive. Confidentiality agreements with doctors and [...]
Author(s): Kim, Juhyeon, Shin, Hyunjung
DOI: 10.1136/amiajnl-2012-001570