fedesoriano/stroke-prediction-dataset: papers linking to it

Kaggle · www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to fedesoriano/stroke-prediction-dataset (https://www.kaggle.com/datasets/fedesoriano/stroke-prediction-dataset), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

5 papers in the tracked journals link to the Kaggle dataset fedesoriano/stroke-prediction-dataset in their Crossref records, the first in 2023; most of them (2) in 2025.
By category: AI (3) and Information Systems (2); the journals with the most are Information Systems Frontiers (1), Expert Systems with Applications (1) and Knowledge and Information Systems (1).

By year#

20232025

Papers linking to fedesoriano/stroke-prediction-dataset by publication year
Year	Papers
2023	1
2024	2
2025	2

Journals#

Journals whose papers link to fedesoriano/stroke-prediction-dataset most
Journal	Papers
Information Systems Frontiers	1
Expert Systems with Applications	1
Knowledge and Information Systems	1
Business & Information Systems Engineering	1
Neural Computing and Applications	1

Papers linking to fedesoriano/stroke-prediction-dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-10-28	A modified reverse-based analysis logic mining model with Weighted Random 2 Satisfiability logic in Discrete Hopfield Neural Network and multi-objective training of Modified Niched Genetic Algorithm	Expert Systems with Applications	Nur Ezlin Zamri, Mohd. Asyraf Mansor, Mohd Shareduwan Mohd Kasihmuddin et al.	71	cites it
2025-02-13	Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning Models	Business & Information Systems Engineering	Sven Kruschel, Nico Hambauer, Sven Weinzierl et al.	52	cites it
2024-09-21	RETRACTED ARTICLE: A novel K-nearest neighbor classifier for lung cancer disease diagnosis	Neural Computing and Applications	Ravi Kumar Sachdeva, Priyanka Bathla, Pooja Rani et al.	17	cites it
2024-01-17	Tools for Healthcare Data Lake Infrastructure Benchmarking	Information Systems Frontiers	Tommaso Dolci, Lorenzo Amata, Carlo Manco et al.	4	cites it
2025-05-12	Efficient healthcare data classification through gazelle-inspired optimization and multimodal deep learning	Knowledge and Information Systems	J. Arockia Jaya, K. Mahalakshmi	4	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). fedesoriano/stroke-prediction-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-fedesoriano-stroke-prediction-dataset

@misc{scholar4ai-code-kaggle-fedesoriano-stroke-prediction-dataset,
  author = {{Scholar4AI}},
  title = {fedesoriano/stroke-prediction-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-fedesoriano-stroke-prediction-dataset}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).