FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3207574080> ?p ?o ?g. }

• W3207574080 endingPage "919" @default.
• W3207574080 startingPage "906" @default.
• W3207574080 abstract "Abstract Data‐driven characterization of symptom clusters in chronic conditions is essential for shared cluster detection and physiological mechanism discovery. This study aims to computationally describe symptom documentation from electronic nursing notes and compare symptom clusters among patients diagnosed with four chronic conditions–chronic obstructive pulmonary disease (COPD), heart failure, type 2 diabetes mellitus, and cancer. Nursing notes ( N = 504,395; 133,977 patients) were obtained for the 2016 calendar year from a single medical center. We used NimbleMiner, a natural language processing application, to identify the presence of 56 symptoms. We calculated symptom documentation prevalence by note and patient for the corpus. Then, we visually compared documentation for a subset of patients ( N = 22,657) diagnosed with COPD ( n = 3339), heart failure ( n = 6587), diabetes ( n = 12,139), and cancer ( n = 7269) and conducted multiple correspondence analysis and hierarchical clustering to discover underlying groups of patients who have similar symptom profiles (i.e., symptom clusters) for each condition. As expected, pain was the most frequently documented symptom. All conditions had a group of patients characterized by no symptoms. Shared clusters included cardiovascular symptoms for heart failure and diabetes; pain and other symptoms for COPD, diabetes, and cancer; and a newly‐identified cognitive and neurological symptom cluster for heart failure, diabetes, and cancer. Cancer (gastrointestinal symptoms and fatigue) and COPD (mental health symptoms) each contained a unique cluster. In summary, we report both shared and distinct, as well as established and novel, symptom clusters across chronic conditions. Findings support the use of electronic health record‐derived notes and NLP methods to study symptoms and symptom clusters to advance symptom science." @default.
• W3207574080 created "2021-10-25" @default.
• W3207574080 creator A5016054297 @default.
• W3207574080 creator A5021465135 @default.
• W3207574080 creator A5038579832 @default.
• W3207574080 creator A5039216258 @default.
• W3207574080 creator A5057258981 @default.
• W3207574080 creator A5085031426 @default.
• W3207574080 creator A5088874608 @default.
• W3207574080 date "2021-10-12" @default.
• W3207574080 modified "2023-10-18" @default.
• W3207574080 title "Characterizing shared and distinct symptom clusters in common chronic conditions through natural language processing of nursing notes" @default.
• W3207574080 cites W1507217056 @default.
• W3207574080 cites W1779506118 @default.
• W3207574080 cites W1963755872 @default.
• W3207574080 cites W1993611133 @default.
• W3207574080 cites W2002864976 @default.
• W3207574080 cites W2018025378 @default.
• W3207574080 cites W2028069302 @default.
• W3207574080 cites W2029182651 @default.
• W3207574080 cites W2029246572 @default.
• W3207574080 cites W2041031177 @default.
• W3207574080 cites W2059909265 @default.
• W3207574080 cites W2061366514 @default.
• W3207574080 cites W2062949299 @default.
• W3207574080 cites W2064785691 @default.
• W3207574080 cites W2068132070 @default.
• W3207574080 cites W2074460142 @default.
• W3207574080 cites W2085117963 @default.
• W3207574080 cites W2085538119 @default.
• W3207574080 cites W2087812194 @default.
• W3207574080 cites W2089273506 @default.
• W3207574080 cites W2089464922 @default.
• W3207574080 cites W2094311681 @default.
• W3207574080 cites W2136615407 @default.
• W3207574080 cites W2152611558 @default.
• W3207574080 cites W2153947402 @default.
• W3207574080 cites W2161357018 @default.
• W3207574080 cites W2170406245 @default.
• W3207574080 cites W2175264619 @default.
• W3207574080 cites W2177704039 @default.
• W3207574080 cites W2323552276 @default.
• W3207574080 cites W2329097607 @default.
• W3207574080 cites W2345195116 @default.
• W3207574080 cites W2402086368 @default.
• W3207574080 cites W2413263575 @default.
• W3207574080 cites W2479447982 @default.
• W3207574080 cites W2507759964 @default.
• W3207574080 cites W2511999371 @default.
• W3207574080 cites W2535833402 @default.
• W3207574080 cites W2538492664 @default.
• W3207574080 cites W2554232906 @default.
• W3207574080 cites W2577838658 @default.
• W3207574080 cites W2582438818 @default.
• W3207574080 cites W2594000342 @default.
• W3207574080 cites W2607275024 @default.
• W3207574080 cites W2612734827 @default.
• W3207574080 cites W2615077966 @default.
• W3207574080 cites W2748786482 @default.
• W3207574080 cites W2769683125 @default.
• W3207574080 cites W2885646846 @default.
• W3207574080 cites W2899649350 @default.
• W3207574080 cites W2900049608 @default.
• W3207574080 cites W2906115286 @default.
• W3207574080 cites W2912971066 @default.
• W3207574080 cites W2914841709 @default.
• W3207574080 cites W2922060734 @default.
• W3207574080 cites W2959858450 @default.
• W3207574080 cites W2968164179 @default.
• W3207574080 cites W2969822426 @default.
• W3207574080 cites W3081422974 @default.
• W3207574080 cites W3103301438 @default.
• W3207574080 cites W3112347536 @default.
• W3207574080 cites W3150918956 @default.
• W3207574080 cites W3155981570 @default.
• W3207574080 cites W578189007 @default.
• W3207574080 doi "https://doi.org/10.1002/nur.22190" @default.
• W3207574080 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8641786" @default.
• W3207574080 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34637147" @default.
• W3207574080 hasPublicationYear "2021" @default.
• W3207574080 type Work @default.
• W3207574080 sameAs 3207574080 @default.
• W3207574080 citedByCount "11" @default.
• W3207574080 countsByYear W32075740802022 @default.
• W3207574080 countsByYear W32075740802023 @default.
• W3207574080 crossrefType "journal-article" @default.
• W3207574080 hasAuthorship W3207574080A5016054297 @default.
• W3207574080 hasAuthorship W3207574080A5021465135 @default.
• W3207574080 hasAuthorship W3207574080A5038579832 @default.
• W3207574080 hasAuthorship W3207574080A5039216258 @default.
• W3207574080 hasAuthorship W3207574080A5057258981 @default.
• W3207574080 hasAuthorship W3207574080A5085031426 @default.
• W3207574080 hasAuthorship W3207574080A5088874608 @default.
• W3207574080 hasBestOaLocation W32075740802 @default.
• W3207574080 hasConcept C121608353 @default.
• W3207574080 hasConcept C126322002 @default.
• W3207574080 hasConcept C134018914 @default.
• W3207574080 hasConcept C164866538 @default.

• next