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Estimation of patient flow in hospitals using up-to-date data. Application to bed demand prediction during pandemic waves
(PLOS, 2023-02-27)
[Abstract] Hospital bed demand forecast is a first-order concern for public health action to avoid healthcare systems to be overwhelmed. Predictions are usually performed by estimating patients flow, that is, lengths of ...
On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility
(MDPI, 2023-10-02)
[Abstract]: In classical survival analysis, it is assumed that all the individuals will experience the event of interest. However, if there is a proportion of subjects who will never experience the event, then a standard ...
Nonparametric Estimation in Mixture Cure Models with Covariates
(Springer Nature, 2023-05-17)
[Abstract] Nonparametric estimation methods for the cure rate and the distribution of the failure time of uncured subjects with covariates for censored survival data have attracted much attention in the last few years. To ...
Rejoinder on: Nonparametric estimation in mixture cure models with covariates
(Springer Nature, 2023-06)
[Abstract]: We thank all discussants for their insightful comments on our paper [López-Cheda, A., Peng, Y. & Jácome, M.A. Nonparametric estimation in mixture cure models with covariates. TEST 32, 467–495 (2023). ...
A cardiotoxicity dataset for breast cancer patients
(Nature Research, 2023)
[Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with ...