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AI-Based Thematic and Trend Analysis of Cardiovascular Research in Indonesia (2015–2025)
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Zitationen
2
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2025
Jahr
Abstract
This repository contains the complete analytical pipeline used in the study “Artificial Intelligence Applications in Cardiovascular Research in Indonesia: A Bibliometric, Thematic, and Trend Analysis (2015–2025)”.The project applies natural language processing (NLP) and unsupervised machine learning techniques to systematically explore research themes, temporal trends, and future directions of AI-driven cardiovascular studies involving Indonesian research contexts. All scripts, preprocessing steps, clustering procedures, and visualisation outputs are provided to ensure full transparency, reproducibility, and methodological rigor, in line with PRISMA 2020 and open science principles.
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