PMC:7116472 / 12867-13815 JSONTXT

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    LitCovid-PubTator

    {"project":"LitCovid-PubTator","denotations":[{"id":"209","span":{"begin":639,"end":648},"obj":"Disease"},{"id":"210","span":{"begin":813,"end":822},"obj":"Disease"},{"id":"211","span":{"begin":907,"end":916},"obj":"Disease"}],"attributes":[{"id":"A209","pred":"tao:has_database_id","subj":"209","obj":"MESH:D003643"},{"id":"A210","pred":"tao:has_database_id","subj":"210","obj":"MESH:D003643"},{"id":"A211","pred":"tao:has_database_id","subj":"211","obj":"MESH:D011014"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"We assessed discrimination for all models by using the area under the receiver operating characteristic curve in the derivation cohort, with 95% confidence intervals calculated by bootstrapped resampling (2000 samples). A value of 0.5 indicates no predictive ability, 0.8 is considered good, and 1.0 is perfect.19 We assessed overall goodness of fit with the Brier score,20 a measure to quantify how close predictions are to the truth. The score ranges between 0 and 1, where smaller values indicate superior model performance. We plotted model calibration curves to examine agreement between predicted and observed risk across deciles of mortality risk to determine the presence of over or under prediction. Risk cut-off values were defined by the total point score for an individual, which represented low (\u003c2% mortality rate), intermediate (2-14.9%), or high risk (≥15%) groups, similar to commonly used pneumonia risk stratification scores.2122"}

    LitCovid-sentences

    {"project":"LitCovid-sentences","denotations":[{"id":"T85","span":{"begin":0,"end":219},"obj":"Sentence"},{"id":"T86","span":{"begin":220,"end":435},"obj":"Sentence"},{"id":"T87","span":{"begin":436,"end":527},"obj":"Sentence"},{"id":"T88","span":{"begin":528,"end":708},"obj":"Sentence"},{"id":"T89","span":{"begin":709,"end":948},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"We assessed discrimination for all models by using the area under the receiver operating characteristic curve in the derivation cohort, with 95% confidence intervals calculated by bootstrapped resampling (2000 samples). A value of 0.5 indicates no predictive ability, 0.8 is considered good, and 1.0 is perfect.19 We assessed overall goodness of fit with the Brier score,20 a measure to quantify how close predictions are to the truth. The score ranges between 0 and 1, where smaller values indicate superior model performance. We plotted model calibration curves to examine agreement between predicted and observed risk across deciles of mortality risk to determine the presence of over or under prediction. Risk cut-off values were defined by the total point score for an individual, which represented low (\u003c2% mortality rate), intermediate (2-14.9%), or high risk (≥15%) groups, similar to commonly used pneumonia risk stratification scores.2122"}

    LitCovid-PD-HP

    {"project":"LitCovid-PD-HP","denotations":[{"id":"T11","span":{"begin":907,"end":916},"obj":"Phenotype"}],"attributes":[{"id":"A11","pred":"hp_id","subj":"T11","obj":"http://purl.obolibrary.org/obo/HP_0002090"}],"text":"We assessed discrimination for all models by using the area under the receiver operating characteristic curve in the derivation cohort, with 95% confidence intervals calculated by bootstrapped resampling (2000 samples). A value of 0.5 indicates no predictive ability, 0.8 is considered good, and 1.0 is perfect.19 We assessed overall goodness of fit with the Brier score,20 a measure to quantify how close predictions are to the truth. The score ranges between 0 and 1, where smaller values indicate superior model performance. We plotted model calibration curves to examine agreement between predicted and observed risk across deciles of mortality risk to determine the presence of over or under prediction. Risk cut-off values were defined by the total point score for an individual, which represented low (\u003c2% mortality rate), intermediate (2-14.9%), or high risk (≥15%) groups, similar to commonly used pneumonia risk stratification scores.2122"}