SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks [PDF]
Survival analysis models time-to-event distributions with censorship. Recently, deep survival models using neural networks have dominated due to their representational power and state-of-the-art performance. However, their "black-box" nature hinders interpretability, which is crucial in real-world applications.
arxiv +1 more source
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations [PDF]
arXivSurvival analysis stands as a pivotal process in cancer treatment research, crucial for predicting patient survival rates accurately. Recent advancements in data collection techniques have paved the way for enhancing survival predictions by integrating information from multiple modalities.
arxiv
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks [PDF]
arXivIn survival analysis, subjects often face competing risks; for example, individuals with cancer may also suffer from heart disease or other illnesses, which can jointly influence the prognosis of risks and censoring. Traditional survival analysis methods often treat competing risks as independent and fail to accommodate the dependencies between ...
arxiv
A Multi-Omics Framework for Survival Mediation Analysis of High-Dimensional Proteogenomic Data [PDF]
arXivSurvival analysis plays a crucial role in understanding time-to-event (survival) outcomes such as disease progression. Despite recent advancements in causal mediation frameworks for survival analysis, existing methods are typically based on Cox regression and primarily focus on a single exposure or individual omics layers, often overlooking multi-omics
arxiv
Generalized Bayesian Ensemble Survival Tree (GBEST) model [PDF]
arXivThis paper proposes a new class of predictive models for survival analysis called Generalized Bayesian Ensemble Survival Tree (GBEST). It is well known that survival analysis poses many different challenges, in particular when applied to small data or censorship mechanism.
arxiv
Metabolomics in cancer research and emerging applications in clinical oncology
Ca-A Cancer Journal for Clinicians, 2021Daniel R Schmidt +2 more
exaly
Chemotherapy‐induced peripheral neurotoxicity: A critical analysis
Ca-A Cancer Journal for Clinicians, 2013Susanna B Park +2 more
exaly
Interventions with Family Caregivers of Cancer Patients: Meta-Analysis of Randomized Trials
Ca-A Cancer Journal for Clinicians, 2010Laurel L Northouse +2 more
exaly
Decision aids for localized prostate cancer treatment choice: Systematic review and meta‐analysis
Ca-A Cancer Journal for Clinicians, 2015Philippe D Violette +2 more
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