Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Showing 1996-2016 of 3,511 articles
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents

Deep Reinforcement Learning (RL) is remarkably effective in addressing sequential resource allocat...

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility

Access to health resources is a critical determinant of public well-being and societal resilience,...

ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization

Large Language Models (LLMs) employ three popular training approaches: Masked Language Models (MLM...

Assortment Optimization for Patient-Provider Matching

Rising provider turnover forces healthcare administrators to frequently rematch patients to availa...

Towards Polyp Counting In Full-Procedure Colonoscopy Videos

Automated colonoscopy reporting holds great potential for enhancing quality control and improving ...

Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation

Background: Computed Tomography Angiography (CTA) is crucial for cerebrovascular disease diagnosis...

Genetic Data Governance in Crisis: Policy Recommendations for Safeguarding Privacy and Preventing Discrimination

Genetic data collection has become ubiquitous today. The ability to meaningfully interpret genetic...

AI for Scaling Legal Reform: Mapping and Redacting Racial Covenants in Santa Clara County

Legal reform can be challenging in light of the volume, complexity, and interdependence of laws, c...

Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models

Background: Data collected in controlled settings typically results in high-quality datasets. Howe...

Magic 1-For-1: Generating One Minute Video Clips within One Minute

In this technical report, we present Magic 1-For-1 (Magic141), an efficient video generation model...

Memory Is Not the Bottleneck: Cost-Efficient Continual Learning via Weight Space Consolidation

Continual learning (CL) has traditionally emphasized minimizing exemplar memory usage, assuming th...

Pareto Optimal Algorithmic Recourse in Multi-cost Function

In decision-making systems, algorithmic recourse aims to identify minimal-cost actions to alter an...

A nested MLMC framework for efficient simulations on FPGAs

Multilevel Monte Carlo (MLMC) reduces the total computational cost of financial option pricing by ...

Machine Learning for Everyone: Simplifying Healthcare Analytics with BigQuery ML

Machine learning (ML) transforms healthcare by enabling predictive analytics, personalized treatme...

Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?

Differentially private (DP) synthetic data is a versatile tool for enabling the analysis of privat...

Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization

Recent advancements in reinforcement learning (RL) have achieved great success in fine-tuning diff...

Privacy-Preserving Dataset Combination

Access to diverse, high-quality datasets is crucial for machine learning model performance, yet da...

Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies

The drastic changes in the global economy, geopolitical conditions, and disruptions such as the CO...

AI-Driven Electronic Health Records System for Enhancing Patient Data Management and Diagnostic Support in Egypt

Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR ...

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