Constance M Johnson, Ryan J Shaw
A usability problem: conveying health risks to consumers on the Internet
AMIA ... Annual Symposium proceedings. AMIA Symposium
many defects occur mass production precision electrical components control manage process variables pvs temperature pressure flow rate liquid level measured timeseries data analyzed however identification point defects difficult operation cause defects multiple equipment units used parallel operations study considers combination unfavourable conditions operations predict defect rate dr products dataset measured actual massproduction process precision electrical components analysed predict dr products data analysis performed dataset generated actual massproduction process precision electrical components machine learning models constructed using ensemble learning methods random forests gradient boosting decision tree xgboost lightgbm conventional univariate analyses show maximum correlation coefficient 017 dr process variables pvs study improved correlation coefficient 073 using multivariate analysis including data pvs considered important process appropriately transformed pvs based domain knowledge process furthermore pvs closely related dr could diagnosed based feature importance constructed machinelearning models study confirms importance using domain knowledge improve prediction ability machine learning models interpretation constructed models