prasoonkottarathil/polycystic-ovary-syndrome-pcos: papers linking to it

Kaggle · www.kaggle.com/datasets/prasoonkottarathil/polycystic-ovary-syndrome-pcos

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to prasoonkottarathil/polycystic-ovary-syndrome-pcos (https://www.kaggle.com/datasets/prasoonkottarathil/polycystic-ovary-syndrome-pcos), 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 prasoonkottarathil/polycystic-ovary-syndrome-pcos in their Crossref records, the first in 2022; most of them (1) in 2026.
By category: AI (4) and Operations Research (1); the journals with the most are Expert Systems with Applications (2), Neural Computing and Applications (2) and Operations Research Forum (1).
3 of the papers build on one another: a later paper cites an earlier one that also links prasoonkottarathil/polycystic-ovary-syndrome-pcos.

By year#

20222026

Papers linking to prasoonkottarathil/polycystic-ovary-syndrome-pcos by publication year
Year	Papers
2022	1
2023	1
2024	1
2025	1
2026	1

Journals#

Journals whose papers link to prasoonkottarathil/polycystic-ovary-syndrome-pcos most
Journal	Papers
Expert Systems with Applications	2
Neural Computing and Applications	2
Operations Research Forum	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

SPOSDS: A smart Polycystic Ovary Syndrome diagnostic system using machine learning Expert Systems with Applications, 2022
- PODBoost: an explainable AI model for polycystic ovarian syndrome detection using grey wolf-based feature selection approach Neural Computing and Applications, 2024 — cites the paper above
- Predicting polycystic ovary syndrome using statistical data integration and machine learning with low-cost information Neural Computing and Applications, 2026 — cites the paper above

Papers linking to prasoonkottarathil/polycystic-ovary-syndrome-pcos, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-05-14	SPOSDS: A smart Polycystic Ovary Syndrome diagnostic system using machine learning	Expert Systems with Applications	Shamik Tiwari, Lalit Kane, Deepika Koundal et al.	120	cites it
2023-04-11	SmS: SMOTE-stacked hybrid model for diagnosis of polycystic ovary syndrome using feature selection method	Expert Systems with Applications	Ritika Kumari, Jaspreeti Singh, Anjana Gosain	55	cites it
2024-07-30	PODBoost: an explainable AI model for polycystic ovarian syndrome detection using grey wolf-based feature selection approach	Neural Computing and Applications	Poonam Moral, Debjani Mustafi, Sudip Kumar Sahana	19	cites it
2025-11-07	An Intersection of Artificial Intelligence and Healthcare: A Focus on Polycystic Ovary Syndrome Diagnosis	Operations Research Forum	Daniel Kwame Amissah, Leonard Mensah Boante, Justice Kwame Appati	0	cites it
2026-07-01	Predicting polycystic ovary syndrome using statistical data integration and machine learning with low-cost information	Neural Computing and Applications	G. B. A. Maranhão, Wanessa W. L. Freitas, Beatriz A. de Miranda et al.	0	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). prasoonkottarathil/polycystic-ovary-syndrome-pcos: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-prasoonkottarathil-polycystic-ovary-syndrome-pcos

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

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