Ranking polycystic ovarian syndrome (PCOS) drugs using degree-based indices in QSPR models and CRITIC-driven MCDM methods
- DOI
- 10.1038/s41598-025-99508-5
- Published
- 2025-05-06
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-99508-5,
title = {Ranking polycystic ovarian syndrome (PCOS) drugs using degree-based indices in QSPR models and CRITIC-driven MCDM methods},
author = {Muhammad Waheed Rasheed and Abid Mahboob and Laiba Amin and Aysha Hussain},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-99508-5},
url = {https://doi.org/10.1038/s41598-025-99508-5}
}RIS
TY - JOUR TI - Ranking polycystic ovarian syndrome (PCOS) drugs using degree-based indices in QSPR models and CRITIC-driven MCDM methods AU - Muhammad Waheed Rasheed AU - Abid Mahboob AU - Laiba Amin AU - Aysha Hussain PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-99508-5 UR - https://doi.org/10.1038/s41598-025-99508-5 ER -
APA
Rasheed, M. W., Mahboob, A., Amin, L., & Hussain, A. (2025). Ranking polycystic ovarian syndrome (PCOS) drugs using degree-based indices in QSPR models and CRITIC-driven MCDM methods. Scientific Reports. https://doi.org/10.1038/s41598-025-99508-5
Source records
- crossref · retrieved 2026-11-10T12:50:04.687Z