Active Learning-Based Multistage Sequential Decision-Making Model with Application on Common Bile Duct Stone Evaluation. (arXiv:2201.04807v1 [stat.ML])

Multistage sequential decision-making scenarios are commonly seen in the
healthcare diagnosis process. In this paper, an active learning-based method is
developed to actively collect only the necessary patient data in a sequential
manner. There are two novelties in the proposed method. First, unlike the
existing ordinal logistic regression model which only models a single stage, we
estimate the parameters for all stages together. Second, it is assumed that the
coefficients for common features in different stages are kept consistent. The …

active learning application arxiv decision learning making ml