Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules
Automated sleep staging is commonly approached as a supervised machine learning problem, with deep learning methods dominating recent research. While machine learning models achieve near-human level agreement with human-scored reference sleep stages, their decisions are typically opaque and not designed to follow clinical scoring rules. We propose a transparent alternative: a deterministic, rule-based sleep staging method that explicitly operationalizes the American Academy of Sleep Medicine's (
Record details
Published: 19 May 2026
Source: arXiv
Category: Research
Topics: Healthcare · Transparency
Retrieved: 14 July 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
arXiv · 4 June 2026
FTC Secures Major Settlement with Caremark, Resolving Antitrust Case Against Second Drug Middleman
US FTC Press Releases · 14 July 2026
Washington gerontocracy meets its receipt-check moment: ‘I think we need some transparency’
Fortune AI · 14 July 2026
Opinion: Students With Disabilities Are Spending More Time in Mainstream Classrooms
The 74 (education AI) · 21 July 2026
Do Vision Models Truly Forget? New Findings from Representation-Level Certification of Visual Unlearning in Vertical Federated Learning
arXiv · 19 May 2026
What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models
arXiv · 18 May 2026
How to cite this record
ethics.ai (19 May 2026), “Staging by the Book: Automatic Sleep Stage Classification Using Scoring Rules,” evidence record 4014, https://ethics.ai/record/4014 (originally published by arXiv).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.