A Global Analysis of National Cardiovascular Disease Control Plans using a Multi-Agent Artificial Intelligence Model: Scoring Data and Validation Data

Harvard Dataverse 2026 Dataset Open access

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Authors: Caleb Kumar
DOI: 10.7910/dvn/etvlmd
Cited by: 0

Abstract

This dataset accompanies the manuscript evaluating the comprehensiveness of 44 National Cardiovascular Disease Control Plans (NCVDCPs) using the Policy Reasoning Integrated Sequential Model (PRISM), a multi-agent artificial intelligence system. The repository contains the scoring outputs, human validation data, and framework necessary to review our analyses.

Fields of Study & Subjects

Global Public Health Policies and Epidemiology Health Promotion and Cardiovascular Prevention Artificial Intelligence in Healthcare

Publication details

Journal / source
Harvard Dataverse
Publication date
9 January 2026
Document type
Dataset