Figure 1:

Data programming with time series heuristics can affordably train competitive end models for automated ECG adjudication. Instead of labeling each data point by hand (fully supervised setting), experts encode their domain knowledge using noisy labeling functions (LFs). A label model then learns the unobserved empirical accuracy of LFs and uses them to produce probabilistic data label estimates using weighted majority vote.