PMC:7796369 / 11831-12590 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/7796369","sourcedb":"PMC","sourceid":"7796369","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7796369","text":"The drive-through model developed in this study is a meta-model (or models of models) that as described by Obsie et al. [33], represents a deterministic proxy for stochastic simulation models. However, developing this type of meta-models requires running complex simulation for many combinations and then using the data generated by each run to create a simpler machine learning model that is a reasonable approximation of the initial simulation model. The meta-models can then provide quick predictions for different input values. While simulation-based or meta-modeling is not a new concept [34], its application in different fields and simulation types are still limited. In this study, we applied meta-modeling approach in the context of mass vaccination.","tracks":[{"project":"LitCovid-sentences","denotations":[{"id":"T94","span":{"begin":0,"end":192},"obj":"Sentence"},{"id":"T95","span":{"begin":193,"end":452},"obj":"Sentence"},{"id":"T96","span":{"begin":453,"end":531},"obj":"Sentence"},{"id":"T97","span":{"begin":532,"end":674},"obj":"Sentence"},{"id":"T98","span":{"begin":675,"end":759},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"attributes":[{"subj":"T94","pred":"source","obj":"LitCovid-sentences"},{"subj":"T95","pred":"source","obj":"LitCovid-sentences"},{"subj":"T96","pred":"source","obj":"LitCovid-sentences"},{"subj":"T97","pred":"source","obj":"LitCovid-sentences"},{"subj":"T98","pred":"source","obj":"LitCovid-sentences"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"LitCovid-sentences","color":"#dd93ec","default":true}]}]}}