FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891057457> ?p ?o ?g. }

• W2891057457 endingPage "224" @default.
• W2891057457 startingPage "214" @default.
• W2891057457 abstract "Existing methods of screening for substance abuse (standardized questionnaires or clinician's simply asking) have proven difficult to initiate and maintain in primary care settings. This article reports on how predictive modeling can be used to screen for substance abuse using extant data in electronic health records (EHRs). We relied on data available through Veterans Affairs Informatics and Computing Infrastructure (VINCI) for the years 2006 through 2016. We focused on 4,681,809 veterans who had at least two primary care visits; 829,827 of whom had a hospitalization. Data included 699 million outpatient and 17 million inpatient records. The dependent variable was substance abuse as identified from 89 diagnostic codes using the Agency for Healthcare Quality and Research classification of diseases. In addition, we included the diagnostic codes used for identification of prescription abuse. The independent variables were 10,292 inpatient and 13,512 outpatient diagnoses, plus 71 dummy variables measuring age at different years between 20 and 90 years. A modified naive Bayes model was used to aggregate the risk across predictors. The accuracy of the predictions was examined using area under the receiver operating characteristic (AROC) curve in 20% of data, randomly set aside for the evaluation. Many physical/mental illnesses were associated with substance abuse. These associations supported findings reported in the literature regarding the impact of substance abuse on various diseases and vice versa. In randomly set-aside validation data, the model accurately predicted substance abuse for inpatient (AROC = 0.884), outpatient (AROC = 0.825), and combined inpatient and outpatient (AROC = 0.840) data. If one excludes information available after substance abuse is known, the cross-validated AROC remained high, 0.822 for inpatient and 0.817 for outpatient data. Data within EHRs can be used to detect existing or predict potential future substance abuse." @default.
• W2891057457 created "2018-09-27" @default.
• W2891057457 creator A5026076846 @default.
• W2891057457 creator A5040056327 @default.
• W2891057457 creator A5054380017 @default.
• W2891057457 date "2018-09-01" @default.
• W2891057457 modified "2023-09-25" @default.
• W2891057457 title "Electronic Health Record-Based Screening for Substance Abuse" @default.
• W2891057457 cites W1496880544 @default.
• W2891057457 cites W1517369794 @default.
• W2891057457 cites W1538057645 @default.
• W2891057457 cites W1802066206 @default.
• W2891057457 cites W1947373986 @default.
• W2891057457 cites W1966901279 @default.
• W2891057457 cites W1969874171 @default.
• W2891057457 cites W1983651680 @default.
• W2891057457 cites W1989496271 @default.
• W2891057457 cites W2012149849 @default.
• W2891057457 cites W2013916820 @default.
• W2891057457 cites W2014831421 @default.
• W2891057457 cites W2015679297 @default.
• W2891057457 cites W2017531614 @default.
• W2891057457 cites W2019658517 @default.
• W2891057457 cites W2021444228 @default.
• W2891057457 cites W2030865965 @default.
• W2891057457 cites W2031509828 @default.
• W2891057457 cites W2040704650 @default.
• W2891057457 cites W2041716049 @default.
• W2891057457 cites W2046727047 @default.
• W2891057457 cites W2053004029 @default.
• W2891057457 cites W2059722025 @default.
• W2891057457 cites W2060969664 @default.
• W2891057457 cites W2070496276 @default.
• W2891057457 cites W2078713358 @default.
• W2891057457 cites W2079313477 @default.
• W2891057457 cites W2085333650 @default.
• W2891057457 cites W2094052917 @default.
• W2891057457 cites W2094224794 @default.
• W2891057457 cites W2097903033 @default.
• W2891057457 cites W2113317312 @default.
• W2891057457 cites W2113503953 @default.
• W2891057457 cites W2113955100 @default.
• W2891057457 cites W2117242650 @default.
• W2891057457 cites W2125051725 @default.
• W2891057457 cites W2136084133 @default.
• W2891057457 cites W2143393640 @default.
• W2891057457 cites W2159625614 @default.
• W2891057457 cites W2160940234 @default.
• W2891057457 cites W2287001840 @default.
• W2891057457 cites W2343373547 @default.
• W2891057457 cites W2351856088 @default.
• W2891057457 cites W2404396240 @default.
• W2891057457 cites W2512883745 @default.
• W2891057457 cites W2531540496 @default.
• W2891057457 cites W2560628063 @default.
• W2891057457 cites W2561239935 @default.
• W2891057457 cites W2581495709 @default.
• W2891057457 cites W2600503668 @default.
• W2891057457 cites W27256942 @default.
• W2891057457 cites W2768584159 @default.
• W2891057457 cites W2790075457 @default.
• W2891057457 cites W2790848065 @default.
• W2891057457 cites W2796765386 @default.
• W2891057457 doi "https://doi.org/10.1089/big.2018.0002" @default.
• W2891057457 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6154440" @default.
• W2891057457 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30283729" @default.
• W2891057457 hasPublicationYear "2018" @default.
• W2891057457 type Work @default.
• W2891057457 sameAs 2891057457 @default.
• W2891057457 citedByCount "3" @default.
• W2891057457 countsByYear W28910574572020 @default.
• W2891057457 countsByYear W28910574572022 @default.
• W2891057457 crossrefType "journal-article" @default.
• W2891057457 hasAuthorship W2891057457A5026076846 @default.
• W2891057457 hasAuthorship W2891057457A5040056327 @default.
• W2891057457 hasAuthorship W2891057457A5054380017 @default.
• W2891057457 hasBestOaLocation W28910574571 @default.
• W2891057457 hasConcept C118552586 @default.
• W2891057457 hasConcept C40010229 @default.
• W2891057457 hasConcept C512399662 @default.
• W2891057457 hasConcept C545542383 @default.
• W2891057457 hasConcept C71924100 @default.
• W2891057457 hasConceptScore W2891057457C118552586 @default.
• W2891057457 hasConceptScore W2891057457C40010229 @default.
• W2891057457 hasConceptScore W2891057457C512399662 @default.
• W2891057457 hasConceptScore W2891057457C545542383 @default.
• W2891057457 hasConceptScore W2891057457C71924100 @default.
• W2891057457 hasIssue "3" @default.
• W2891057457 hasLocation W28910574571 @default.
• W2891057457 hasLocation W28910574572 @default.
• W2891057457 hasLocation W28910574573 @default.
• W2891057457 hasLocation W28910574574 @default.
• W2891057457 hasOpenAccess W2891057457 @default.
• W2891057457 hasPrimaryLocation W28910574571 @default.
• W2891057457 hasRelatedWork W1965340102 @default.
• W2891057457 hasRelatedWork W2005941994 @default.
• W2891057457 hasRelatedWork W2008412598 @default.
• W2891057457 hasRelatedWork W2035693273 @default.

• next