FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220759284> ?p ?o ?g. }

• W4220759284 abstract "Abstract Since it emerged in December of 2019, COVID-19 has placed a huge burden on medical care in countries throughout the world, as it led to a huge number of hospitalizations and mortalities. Many medical centers were overloaded, as their intensive care units and auxiliary protection resources proved insufficient, which made the effective allocation of medical resources an urgent matter. This study describes learned survival prediction models that could help medical professionals make effective decisions regarding patient triage and resource allocation. We created multiple data subsets from a publicly available COVID-19 epidemiological dataset to evaluate the effectiveness of various combinations of covariates—age, sex, geographic location, and chronic disease status—in learning survival models (here, “Individual Survival Distributions”; ISDs) for hospital discharge and also for death events. We then supplemented our datasets with demographic and economic information to obtain potentially more accurate survival models. Our extensive experiments compared several ISD models, using various measures. These results show that the “gradient boosting Cox machine” algorithm outperformed the competing techniques, in terms of these performance evaluation metrics, for predicting both an individual’s likelihood of hospital discharge and COVID-19 mortality. Our curated datasets and code base are available at our Github repository for reproducing the results reported in this paper and for supporting future research." @default.
• W4220759284 created "2022-04-03" @default.
• W4220759284 creator A5018991440 @default.
• W4220759284 creator A5019118865 @default.
• W4220759284 creator A5027200864 @default.
• W4220759284 creator A5057451567 @default.
• W4220759284 creator A5059121720 @default.
• W4220759284 creator A5083125108 @default.
• W4220759284 date "2022-03-16" @default.
• W4220759284 modified "2023-09-27" @default.
• W4220759284 title "Learning accurate personalized survival models for predicting hospital discharge and mortality of COVID-19 patients" @default.
• W4220759284 cites W1975900555 @default.
• W4220759284 cites W2091989291 @default.
• W4220759284 cites W2165664908 @default.
• W4220759284 cites W2324805613 @default.
• W4220759284 cites W2773944606 @default.
• W4220759284 cites W2789172526 @default.
• W4220759284 cites W2996480032 @default.
• W4220759284 cites W3006419170 @default.
• W4220759284 cites W3007104434 @default.
• W4220759284 cites W3007453563 @default.
• W4220759284 cites W3012756997 @default.
• W4220759284 cites W3013967887 @default.
• W4220759284 cites W3034404517 @default.
• W4220759284 cites W3039347467 @default.
• W4220759284 cites W3048754065 @default.
• W4220759284 cites W3081869758 @default.
• W4220759284 cites W3091922182 @default.
• W4220759284 cites W3095858754 @default.
• W4220759284 cites W3099478002 @default.
• W4220759284 cites W3128430125 @default.
• W4220759284 cites W3136592807 @default.
• W4220759284 cites W3202929943 @default.
• W4220759284 cites W4214512856 @default.
• W4220759284 cites W4293241248 @default.
• W4220759284 doi "https://doi.org/10.1038/s41598-022-08601-6" @default.
• W4220759284 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35296767" @default.
• W4220759284 hasPublicationYear "2022" @default.
• W4220759284 type Work @default.
• W4220759284 citedByCount "1" @default.
• W4220759284 countsByYear W42207592842022 @default.
• W4220759284 crossrefType "journal-article" @default.
• W4220759284 hasAuthorship W4220759284A5018991440 @default.
• W4220759284 hasAuthorship W4220759284A5019118865 @default.
• W4220759284 hasAuthorship W4220759284A5027200864 @default.
• W4220759284 hasAuthorship W4220759284A5057451567 @default.
• W4220759284 hasAuthorship W4220759284A5059121720 @default.
• W4220759284 hasAuthorship W4220759284A5083125108 @default.
• W4220759284 hasBestOaLocation W42207592841 @default.
• W4220759284 hasConcept C119043178 @default.
• W4220759284 hasConcept C119857082 @default.
• W4220759284 hasConcept C124101348 @default.
• W4220759284 hasConcept C142724271 @default.
• W4220759284 hasConcept C2522767166 @default.
• W4220759284 hasConcept C2777120189 @default.
• W4220759284 hasConcept C2779134260 @default.
• W4220759284 hasConcept C3008058167 @default.
• W4220759284 hasConcept C32220436 @default.
• W4220759284 hasConcept C41008148 @default.
• W4220759284 hasConcept C524204448 @default.
• W4220759284 hasConcept C545542383 @default.
• W4220759284 hasConcept C60644358 @default.
• W4220759284 hasConcept C71924100 @default.
• W4220759284 hasConcept C86803240 @default.
• W4220759284 hasConcept C89623803 @default.
• W4220759284 hasConceptScore W4220759284C119043178 @default.
• W4220759284 hasConceptScore W4220759284C119857082 @default.
• W4220759284 hasConceptScore W4220759284C124101348 @default.
• W4220759284 hasConceptScore W4220759284C142724271 @default.
• W4220759284 hasConceptScore W4220759284C2522767166 @default.
• W4220759284 hasConceptScore W4220759284C2777120189 @default.
• W4220759284 hasConceptScore W4220759284C2779134260 @default.
• W4220759284 hasConceptScore W4220759284C3008058167 @default.
• W4220759284 hasConceptScore W4220759284C32220436 @default.
• W4220759284 hasConceptScore W4220759284C41008148 @default.
• W4220759284 hasConceptScore W4220759284C524204448 @default.
• W4220759284 hasConceptScore W4220759284C545542383 @default.
• W4220759284 hasConceptScore W4220759284C60644358 @default.
• W4220759284 hasConceptScore W4220759284C71924100 @default.
• W4220759284 hasConceptScore W4220759284C86803240 @default.
• W4220759284 hasConceptScore W4220759284C89623803 @default.
• W4220759284 hasFunder F4320334593 @default.
• W4220759284 hasIssue "1" @default.
• W4220759284 hasLocation W42207592841 @default.
• W4220759284 hasLocation W42207592842 @default.
• W4220759284 hasLocation W42207592843 @default.
• W4220759284 hasLocation W42207592844 @default.
• W4220759284 hasOpenAccess W4220759284 @default.
• W4220759284 hasPrimaryLocation W42207592841 @default.
• W4220759284 hasRelatedWork W1982747518 @default.
• W4220759284 hasRelatedWork W2067018599 @default.
• W4220759284 hasRelatedWork W2748952813 @default.
• W4220759284 hasRelatedWork W2899084033 @default.
• W4220759284 hasRelatedWork W3024189016 @default.
• W4220759284 hasRelatedWork W3046496802 @default.
• W4220759284 hasRelatedWork W3096569242 @default.
• W4220759284 hasRelatedWork W3198269889 @default.
• W4220759284 hasRelatedWork W4205897155 @default.
• W4220759284 hasRelatedWork W4313438418 @default.
• W4220759284 hasVolume "12" @default.

• next