FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3043204788> ?p ?o ?g. }

• W3043204788 endingPage "360" @default.
• W3043204788 startingPage "360" @default.
• W3043204788 abstract "Background and Objectives: This study aimed to group diseases classified by the International Classification of Diseases using principal component analysis, and discuss a systematic approach to reducing the preventable death rate from a perspective of public health. Materials and Methods: Using a 10-year follow-up analysis of the Korean Longitudinal Study of Aging (KLoSA) data, this study obtained de-identified data including participants’ data of community-dwelling individuals aged ≥45 years from 2006 to 2016. Participants were randomly selected using a multistage, stratified probability sampling based on geographical area and housing type. We excluded 37 participants with missing information at baseline and included 10,217 study participants. This study used the principal component analysis to extract comorbidity patterns, and chi-square test and Cox proportional hazards models for analyzing the association between the factors of interest. Results: Principal component 1 (diabetes, heart disease, and hypertension) was associated with an increased hazard ratio (HR) of 1.079 (95% confidence interval (CI) 1.031–1.129, p = 0.001). Principal component 3 (psychiatric and cerebrovascular diseases) was related to an increased HR of 1.134 (95% CI 1.094–1.175, p < 0.0001). Moreover, principal component 4 was associated with a high HR of 1.172 (95% CI 1.130–1.215, p < 0.0001). However, among participants aged between 45 and 64 years, principal component 4 showed a meaningfully increased HR of 1.262 (95% CI 1.184–1.346, p < 0.001). In this study, among the four principal components, three were statistically associated with increased mortality. Conclusions: The principal component analysis for predicting mortality may become a useful tool, and artificial intelligence (AI) will improve a value-based healthcare strategy, along with developing a clinical decision support model." @default.
• W3043204788 created "2020-07-23" @default.
• W3043204788 creator A5000615161 @default.
• W3043204788 creator A5031754381 @default.
• W3043204788 creator A5085220218 @default.
• W3043204788 date "2020-07-18" @default.
• W3043204788 modified "2023-09-29" @default.
• W3043204788 title "Predicting Old-age Mortality Using Principal Component Analysis: Results from a National Panel Survey in Korea" @default.
• W3043204788 cites W1845838756 @default.
• W3043204788 cites W1863746632 @default.
• W3043204788 cites W1990355718 @default.
• W3043204788 cites W1999938906 @default.
• W3043204788 cites W2000445173 @default.
• W3043204788 cites W2010675220 @default.
• W3043204788 cites W2030786073 @default.
• W3043204788 cites W2036723986 @default.
• W3043204788 cites W2041215083 @default.
• W3043204788 cites W2045812147 @default.
• W3043204788 cites W2046228438 @default.
• W3043204788 cites W2073101005 @default.
• W3043204788 cites W2075443305 @default.
• W3043204788 cites W2087526580 @default.
• W3043204788 cites W2087781527 @default.
• W3043204788 cites W2103191158 @default.
• W3043204788 cites W2106350506 @default.
• W3043204788 cites W2118578524 @default.
• W3043204788 cites W2141253513 @default.
• W3043204788 cites W2146575389 @default.
• W3043204788 cites W2151768324 @default.
• W3043204788 cites W2160328946 @default.
• W3043204788 cites W2161081593 @default.
• W3043204788 cites W2163519273 @default.
• W3043204788 cites W2165037395 @default.
• W3043204788 cites W2165883882 @default.
• W3043204788 cites W2589337788 @default.
• W3043204788 cites W2622835012 @default.
• W3043204788 cites W2757321799 @default.
• W3043204788 cites W2899825622 @default.
• W3043204788 cites W2910777627 @default.
• W3043204788 cites W2917869996 @default.
• W3043204788 cites W2919951291 @default.
• W3043204788 cites W2996550193 @default.
• W3043204788 cites W3011720571 @default.
• W3043204788 cites W3016012157 @default.
• W3043204788 cites W3018487829 @default.
• W3043204788 cites W4248733403 @default.
• W3043204788 doi "https://doi.org/10.3390/medicina56070360" @default.
• W3043204788 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7404716" @default.
• W3043204788 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32708355" @default.
• W3043204788 hasPublicationYear "2020" @default.
• W3043204788 type Work @default.
• W3043204788 sameAs 3043204788 @default.
• W3043204788 citedByCount "3" @default.
• W3043204788 countsByYear W30432047882022 @default.
• W3043204788 countsByYear W30432047882023 @default.
• W3043204788 crossrefType "journal-article" @default.
• W3043204788 hasAuthorship W3043204788A5000615161 @default.
• W3043204788 hasAuthorship W3043204788A5031754381 @default.
• W3043204788 hasAuthorship W3043204788A5085220218 @default.
• W3043204788 hasBestOaLocation W30432047881 @default.
• W3043204788 hasConcept C105795698 @default.
• W3043204788 hasConcept C126322002 @default.
• W3043204788 hasConcept C134018914 @default.
• W3043204788 hasConcept C144024400 @default.
• W3043204788 hasConcept C149923435 @default.
• W3043204788 hasConcept C207103383 @default.
• W3043204788 hasConcept C27438332 @default.
• W3043204788 hasConcept C2779159551 @default.
• W3043204788 hasConcept C33923547 @default.
• W3043204788 hasConcept C44249647 @default.
• W3043204788 hasConcept C50382708 @default.
• W3043204788 hasConcept C555293320 @default.
• W3043204788 hasConcept C71924100 @default.
• W3043204788 hasConcept C74909509 @default.
• W3043204788 hasConceptScore W3043204788C105795698 @default.
• W3043204788 hasConceptScore W3043204788C126322002 @default.
• W3043204788 hasConceptScore W3043204788C134018914 @default.
• W3043204788 hasConceptScore W3043204788C144024400 @default.
• W3043204788 hasConceptScore W3043204788C149923435 @default.
• W3043204788 hasConceptScore W3043204788C207103383 @default.
• W3043204788 hasConceptScore W3043204788C27438332 @default.
• W3043204788 hasConceptScore W3043204788C2779159551 @default.
• W3043204788 hasConceptScore W3043204788C33923547 @default.
• W3043204788 hasConceptScore W3043204788C44249647 @default.
• W3043204788 hasConceptScore W3043204788C50382708 @default.
• W3043204788 hasConceptScore W3043204788C555293320 @default.
• W3043204788 hasConceptScore W3043204788C71924100 @default.
• W3043204788 hasConceptScore W3043204788C74909509 @default.
• W3043204788 hasIssue "7" @default.
• W3043204788 hasLocation W30432047881 @default.
• W3043204788 hasLocation W30432047882 @default.
• W3043204788 hasOpenAccess W3043204788 @default.
• W3043204788 hasPrimaryLocation W30432047881 @default.
• W3043204788 hasRelatedWork W1727188710 @default.
• W3043204788 hasRelatedWork W1966656446 @default.
• W3043204788 hasRelatedWork W2088206352 @default.
• W3043204788 hasRelatedWork W2119154902 @default.
• W3043204788 hasRelatedWork W2133235702 @default.

• next