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METHOD TO INCREASE DISCOVERY PIPELINE HIT RATES AND LAB TO FIELD TRANSLATION
METHOD TO INCREASE DISCOVERY PIPELINE HIT RATES AND LAB TO FIELD TRANSLATION
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机译:提高发现管道命中率和实验室到现场转换的方法
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摘要
The computing device transforms lab data and field data into a first format suitable for execution with a supervised machine learning model to determine an input variable importance for a first set of input variables in predicting a field outcome, generates one or more logical rules of decision metrics, selects the one or more input variables that yields a higher input variable importance, generates one or more pass-fail indicators, combines the one or more pass-fail indicators generates one or more prediction factor rules, transforms the field data and the one or more prediction factor rules into a second format suitable for execution with a model to determine a treatment effect for the one or more prediction factor rules, and selects the prediction factor rule that maximizes the treatment effect of predicting the field outcome of a performance of compounds or biological actives within a range of uncertainty.
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