Results 11 to 20 of about 2,712,400 (306)
Deep Learning-Based Survival Analysis for High-Dimensional Survival Data
Mathematics, 2021 With the development of high-throughput technologies, more and more high-dimensional or ultra-high-dimensional genomic data are being generated. Therefore, effectively analyzing such data has become a significant challenge.
Lin Hao +3 more
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Survival Analisis Kapplan Meier Pasien COVID-19 di RSUP Dr. Wahidin Sudirohusodo Makassar
Majalah Kedokteran Andalas, 2021 Tujuan: Penelitian ini bertujuan untuk mengetahui perbedaan probabilitas survival pasien COVID-19 di RSUP Dr. Wahidin Sudirohusodo berdasarkan faktor umur, jenis kelamin, komorbiditas, dan penggunaan ventilator.
Salki Sasmita, Andi Nailah Amirullah
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Survival cluster analysis [PDF]
Proceedings of the ACM Conference on Health, Inference, and Learning, 2020 Conventional survival analysis approaches estimate risk scores or individualized time-to-event distributions conditioned on covariates. In practice, there is often great population-level phenotypic heterogeneity, resulting from (unknown) subpopulations with diverse risk profiles or survival distributions. As a result, there is an unmet need in survival
Paidamoyo Chapfuwa +4 more
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Survival analysis of spinal muscular atrophy type I [PDF]
Korean Journal of Pediatrics, 2010 PurposeThe life expectancy of patients with spinal muscular atrophy (SMA) type I is generally considered to be less than 2 years. Recently, with the introduction of proactive treatments, a longer survival and an improved survival rate have been reported.
Hyun Bin Park +6 more
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Journal of Infection in Developing Countries, 2022 Introduction: Coronavirus disease 2019 (COVID-19) has caused an outbreak around the world. Early detection of severe illness is crucial for patients’ survival.
Yun Gou +12 more
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Conformalized survival analysis
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023 AbstractIn this paper, we develop an inferential method based on conformal prediction, which can wrap around any survival prediction algorithm to produce calibrated, covariate-dependent lower predictive bounds on survival times. In the Type I right-censoring setting, when the censoring times are completely exogenous, the lower predictive bounds have ...
Emmanuel Candès, Lihua Lei, Zhimei Ren
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Multiscale Bayesian survival analysis [PDF]
The Annals of Statistics, 2021 We consider Bayesian nonparametric inference in the right-censoring survival model, where modeling is made at the level of the hazard rate. We derive posterior limiting distributions for linear functionals of the hazard, and then for `many' functionals simultaneously in appropriate multiscale spaces.
Castillo, Ismaël +1 more
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Clinic-pathological characteristics of colonic carcinoma in relation to localization and histologic type [PDF]
Vojnosanitetski Pregled, 2007 Background/Aim. A significant increase in colonic carcinoma has been analyzed in numerous clinic-pathological studies and genetics models. The aim of this study was to determinate the differences in clinic-pathological parameters of colonic carcinoma ...
Živković Vesna +5 more
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Molecular Genetics & Genomic Medicine, 2020 Background Acute lymphoblastic leukemia (ALL) is the most common hematological malignancy in pediatrics, and immune‐related genes (IRGs) play crucial role in its development.
Xi Quan +4 more
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