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08/04/2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
Survival analysis is a fundamental tool in medicine, modeling the time u...
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07/18/2023
Causal effects of chemotherapy regimen intensity on survival outcome in osteosarcoma patients through marginal structural Cox models
As patients develop toxic side effects, cancer treatment is adapted over...
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05/16/2023
Long-term adherence to polytherapy in heart failure patients: a novel approach emphasising the importance of secondary prevention
Heart failure (HF) is a severe and costly clinical syndrome associated w...
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02/23/2023
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
We introduce a novel statistical significance-based approach for cluster...
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02/15/2023
An Evaluation of Researchers' Migration Patterns in Europe using Digital Trace Data
The comprehension of the mechanisms behind the mobility of skilled worke...
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09/09/2022
Mining and evaluation of patients' diagnostic therapeutic paths through state sequences analysis
The concept of care pathways is increasingly being used to enhance the q...
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08/09/2022
Imaging-based representation and stratification of intra-tumor Heterogeneity via tree-edit distance
Personalized medicine is the future of medical practice. In oncology, tu...
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04/12/2022
A wavelet-mixed landmark survival model for the effect of short-term oscillations in longitudinal biomarker's profiles
Statistical methods to study the association between a longitudinal biom...
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12/23/2021
A general framework for penalized mixed-effects multitask learning with application on DNAm biomarkers creation
The creation of non invasive biomarkers from blood DNA methylation profi...
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07/27/2021
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
In cancer trials, the analysis of longitudinal toxicity data is a diffic...
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06/20/2021
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
EEG technology finds applications in several domains. Currently, most EE...
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03/22/2021
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
Class imbalance is a common issue in many domain applications of learnin...
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02/23/2021
