Matches in SemOpenAlex for { <https://semopenalex.org/work/W4213454920> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4213454920 endingPage "e44" @default.
- W4213454920 startingPage "e35" @default.
- W4213454920 abstract "It would be useful to be able to assess the utility of predictive models of continuous values before clinical trials are performed.The aim of the study is to compare metrics to assess the potential clinical utility of models that produce continuous value forecasts.We ran a set of data assimilation forecast algorithms on time series of glucose measurements from neurological intensive care unit patients. We evaluated the forecasts using four sets of metrics: glucose root mean square (RMS) error, a set of metrics on a transformed glucose value, the estimated effect on clinical care based on an insulin guideline, and a glucose measurement error grid (Parkes grid). We assessed correlation among the metrics and created a set of factor models.The metrics generally correlated with each other, but those that estimated the effect on clinical care correlated with others the least and were generally associated with their own independent factors. The other metrics appeared to separate into those that emphasized errors in low glucose versus errors in high glucose. The Parkes grid was well correlated with the transformed glucose but not the estimation of clinical care.Our results indicate that we need to be careful before we assume that commonly used metrics like RMS error in raw glucose or even metrics like the Parkes grid that are designed to measure importance of differences will correlate well with actual effect on clinical care processes. A combination of metrics appeared to explain the most variance between cases. As prediction algorithms move into practice, it will be important to measure actual effects." @default.
- W4213454920 created "2022-02-25" @default.
- W4213454920 creator A5053670656 @default.
- W4213454920 creator A5070746797 @default.
- W4213454920 date "2022-02-23" @default.
- W4213454920 modified "2023-09-26" @default.
- W4213454920 title "Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study" @default.
- W4213454920 cites W1844237527 @default.
- W4213454920 cites W2047172084 @default.
- W4213454920 cites W2053804091 @default.
- W4213454920 cites W2054705093 @default.
- W4213454920 cites W2099719924 @default.
- W4213454920 cites W2111352982 @default.
- W4213454920 cites W2171826252 @default.
- W4213454920 cites W2608902687 @default.
- W4213454920 cites W2786384427 @default.
- W4213454920 cites W2805089815 @default.
- W4213454920 cites W2896190255 @default.
- W4213454920 cites W2908682713 @default.
- W4213454920 cites W4247915326 @default.
- W4213454920 doi "https://doi.org/10.1055/s-0042-1743170" @default.
- W4213454920 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35196735" @default.
- W4213454920 hasPublicationYear "2022" @default.
- W4213454920 type Work @default.
- W4213454920 citedByCount "2" @default.
- W4213454920 countsByYear W42134549202023 @default.
- W4213454920 crossrefType "journal-article" @default.
- W4213454920 hasAuthorship W4213454920A5053670656 @default.
- W4213454920 hasAuthorship W4213454920A5070746797 @default.
- W4213454920 hasBestOaLocation W42134549201 @default.
- W4213454920 hasConcept C105795698 @default.
- W4213454920 hasConcept C121955636 @default.
- W4213454920 hasConcept C124101348 @default.
- W4213454920 hasConcept C139945424 @default.
- W4213454920 hasConcept C142724271 @default.
- W4213454920 hasConcept C144133560 @default.
- W4213454920 hasConcept C149782125 @default.
- W4213454920 hasConcept C177264268 @default.
- W4213454920 hasConcept C1862650 @default.
- W4213454920 hasConcept C196083921 @default.
- W4213454920 hasConcept C199360897 @default.
- W4213454920 hasConcept C2779974597 @default.
- W4213454920 hasConcept C2780182762 @default.
- W4213454920 hasConcept C33923547 @default.
- W4213454920 hasConcept C41008148 @default.
- W4213454920 hasConcept C71924100 @default.
- W4213454920 hasConceptScore W4213454920C105795698 @default.
- W4213454920 hasConceptScore W4213454920C121955636 @default.
- W4213454920 hasConceptScore W4213454920C124101348 @default.
- W4213454920 hasConceptScore W4213454920C139945424 @default.
- W4213454920 hasConceptScore W4213454920C142724271 @default.
- W4213454920 hasConceptScore W4213454920C144133560 @default.
- W4213454920 hasConceptScore W4213454920C149782125 @default.
- W4213454920 hasConceptScore W4213454920C177264268 @default.
- W4213454920 hasConceptScore W4213454920C1862650 @default.
- W4213454920 hasConceptScore W4213454920C196083921 @default.
- W4213454920 hasConceptScore W4213454920C199360897 @default.
- W4213454920 hasConceptScore W4213454920C2779974597 @default.
- W4213454920 hasConceptScore W4213454920C2780182762 @default.
- W4213454920 hasConceptScore W4213454920C33923547 @default.
- W4213454920 hasConceptScore W4213454920C41008148 @default.
- W4213454920 hasConceptScore W4213454920C71924100 @default.
- W4213454920 hasFunder F4320332161 @default.
- W4213454920 hasIssue "S 01" @default.
- W4213454920 hasLocation W42134549201 @default.
- W4213454920 hasLocation W42134549202 @default.
- W4213454920 hasLocation W42134549203 @default.
- W4213454920 hasOpenAccess W4213454920 @default.
- W4213454920 hasPrimaryLocation W42134549201 @default.
- W4213454920 hasRelatedWork W2058274593 @default.
- W4213454920 hasRelatedWork W2119158312 @default.
- W4213454920 hasRelatedWork W2141459418 @default.
- W4213454920 hasRelatedWork W2414926804 @default.
- W4213454920 hasRelatedWork W2552050053 @default.
- W4213454920 hasRelatedWork W2748952813 @default.
- W4213454920 hasRelatedWork W2783129026 @default.
- W4213454920 hasRelatedWork W2899084033 @default.
- W4213454920 hasRelatedWork W4249487090 @default.
- W4213454920 hasRelatedWork W4252075679 @default.
- W4213454920 hasVolume "61" @default.
- W4213454920 isParatext "false" @default.
- W4213454920 isRetracted "false" @default.
- W4213454920 workType "article" @default.