Cargando…
Landmark Prediction of Survival for Breast Cancer Patients: A Case Study in Tehran, Iran
BACKGROUND: Breast cancer is the first non-cutaneous malignancy in women and the second cause of death due to cancer all over the world. There are situations where researchers are interested in dynamic prediction of survival of patients where traditional models might fail to achieve this goal. We ai...
Autores principales: | ALAFCHI, Behnaz, TAPAK, Leili, HAMIDI, Omid, POOROLAJAL, Jalal, MAHJUB, Hossein |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6974853/ https://www.ncbi.nlm.nih.gov/pubmed/31993394 |
Ejemplares similares
-
Real-Data Comparison of Data Mining Methods in Prediction of Diabetes in Iran
por: Tapak, Lily, et al.
Publicado: (2013) -
Predicting the Survival Time for Bladder Cancer Using an Additive Hazards Model in Microarray Data
por: TAPAK, Leili, et al.
Publicado: (2016) -
Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival Forests
por: HAMIDI, Omid, et al.
Publicado: (2016) -
Joint modelling of colorectal cancer recurrence and death after resection using multi-state model with cured fraction
por: Alafchi, Behnaz, et al.
Publicado: (2021) -
Prediction of Kidney Graft Rejection Using Artificial Neural Network
por: Tapak, Leili, et al.
Publicado: (2017)