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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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AI-Based Thematic and Trend Analysis of Cardiovascular Research in Indonesia (2015–2025)

Authors: Setiawan, Budi; Nuryunarsih, Desy;

AI-Based Thematic and Trend Analysis of Cardiovascular Research in Indonesia (2015–2025)

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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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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