healthcare

A structured regression approach for evaluating model performance across intersectional subgroups

Disaggregated evaluation is a central task in AI fairness assessment, with the goal to measure an AI system's performance across different subgroups defined by combinations of demographic or other sensitive attributes. The standard approach is to …

Networked Restless Bandits with Positive Externalities

Restless multi-armed bandits are often used to model budget-constrained resource allocation tasks where receipt of the resource is associated with an increased probability of a favorable state transition. Prior work assumes that individual arms only …

Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting

Restless and collapsing bandits are often used to model budget-constrained resource allocation in settings where arms have action-dependent transition probabilities, such as the allocation of health interventions among patients. However, SOTA …

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain

Crowdworker-constructed natural language inference (NLI) datasets have been found to contain statistical artifacts associated with the annotation process that allow hypothesis-only classifiers to achieve better-than-random performance (Poliak et al., …

ClarityNLP

An open-source NLP framework for clinical phenotyping.

Blockchain Platform to Facilitate Patient-Directed Record Sharing

An Ethereum-based prototype platform to facilitate patient-directed provider-to-provider record sharing.

Chest X-ray Disease Diagnosis with Deep Convolutional Neural Networks

PyTorch-based pipeline to use CNNs to detect and localize the 14 thoracic pathologies present in the NIH Chest X-ray dataset.