Applications of 0-1 Neural Networks in Prescription and Prediction

arXiv:2402.18851v1 Announce Type: new
Abstract: A key challenge in medical decision making is learning treatment policies for patients with limited observational data. This challenge is particularly evident in personalized healthcare decision-making, where models need to take into account the intricate relationships between patient characteristics, treatment options, and health outcomes. To address this, we introduce prescriptive networks (PNNs), shallow 0-1 neural networks trained with mixed integer programming that can be used with counterfactual estimation to optimize policies in medium data settings. …

abstract applications arxiv challenge cs.ai cs.lg data decision decision making health healthcare key making math.oc medical networks neural networks patient patients personalized prediction relationships stat.ml treatment type