IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0322182.html
   My bibliography  Save this article

Patent value prediction in biomedical textiles: A method based on a fusion of machine learning models

Author

Listed:
  • Yifan He
  • Kehui Deng
  • Jiawei Han

Abstract

Patent value prediction is essential for technology innovation management. This study aims to enhance technology innovation management in the field of biomedical textiles by processing complex biomedical patent information to improve the accuracy of predicting patent values. A patent value grading prediction method based on a fusion of machine learning models is proposed, utilizing 113,428 biomedical textile patents as the research sample. The method combines BERT (Bidirectional Encoder Representations from Transformers) and a stacking strategy to classify and predict the value class of biomedical textile patents using both textual information and structured patent features. We implemented this method for patent value prediction in biomedical textiles, leading to the development of BioTexVal—the first dedicated patent value prediction model for this domain. BioTexVal’s innovation lies in employing a stacking strategy that integrates multiple machine learning models to enhance predictive accuracy while leveraging unstructured data during training. Results have shown that this approach significantly outperforms previous predictive methods. Validated on 113,428 biomedical textile patents spanning from 2003 to 2023, BioTexVal achieved an accuracy of 88.38%. This study uses average annual forward citations as an indicator for distinguishing patent value grades. The method may require adjustments based on data characteristics when applied to other research fields to ensure its effectiveness.

Suggested Citation

  • Yifan He & Kehui Deng & Jiawei Han, 2025. "Patent value prediction in biomedical textiles: A method based on a fusion of machine learning models," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-24, April.
  • Handle: RePEc:plo:pone00:0322182
    DOI: 10.1371/journal.pone.0322182
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0322182
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0322182&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0322182?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    2. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    3. Tong, Xuesong & Frame, J. Davidson, 1994. "Measuring national technological performance with patent claims data," Research Policy, Elsevier, vol. 23(2), pages 133-141, March.
    4. Dietmar Harhoff & Stefan Wagner, 2009. "The Duration of Patent Examination at the European Patent Office," Management Science, INFORMS, vol. 55(12), pages 1969-1984, December.
    5. Mark Schankerman, 1998. "How Valuable is Patent Protection? Estimates by Technology Field," RAND Journal of Economics, The RAND Corporation, vol. 29(1), pages 77-107, Spring.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bedford, Anna & Ma, Le & Ma, Nelson & Vojvoda, Kristina, 2022. "Australian innovation: Patent database construction and first evidence," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    2. Manuel Acosta & Daniel Coronado & Esther Ferrándiz & Manuel Jiménez, 2022. "Effects of knowledge spillovers between competitors on patent quality: what patent citations reveal about a global duopoly," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1451-1487, October.
    3. Nicolas van Zeebroeck, 2011. "Long Live Patents: the Increasing Life Expectancy of Patent Applications and its Determinants," Review of Economics and Institutions, Università di Perugia, vol. 2(3).
    4. Kim, Jinyoung, 2017. "Racing against Time in Research: A Study of the 1995 U.S. Patent Law Amendment," IZA Discussion Papers 10815, Institute of Labor Economics (IZA).
    5. Igna, Ioana A., 2018. "The effects of educational mismatch on inventor productivity. Evidence from Sweden, 2003-2010," Papers in Innovation Studies 2018/8, Lund University, CIRCLE - Centre for Innovation Research.
    6. Jungpyo Lee & So Young Sohn, 2017. "What makes the first forward citation of a patent occur earlier?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 279-298, October.
    7. Jonathan H. Ashtor, 2019. "Investigating Cohort Similarity as an Ex Ante Alternative to Patent Forward Citations," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(4), pages 848-880, December.
    8. Hanne Peeters & Julie Callaert & Bart Looy, 2020. "Do firms profit from involving academics when developing technology?," The Journal of Technology Transfer, Springer, vol. 45(2), pages 494-521, April.
    9. Huo, Dong & Motohashi, Kazuyuki & Gong, Han, 2019. "Team diversity as dissimilarity and variety in organizational innovation," Research Policy, Elsevier, vol. 48(6), pages 1564-1572.
    10. Hikkerova, Lubica & Kammoun, Niaz & Lantz, Jean-Sébastien, 2014. "Patent life cycle: New evidence," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 313-324.
    11. Bessen, James, 2008. "The value of U.S. patents by owner and patent characteristics," Research Policy, Elsevier, vol. 37(5), pages 932-945, June.
    12. Nicolas van Zeebroeck, 2009. "From patent renewals to applications survival: do portfolio management strategies play a role in patent length?," Working Papers CEB 09-028.RS, ULB -- Universite Libre de Bruxelles.
    13. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," MPRA Paper 123361, University Library of Munich, Germany.
    14. Ananthraman, Srinivasan & Cambré, Bart & Delcamp, Henry, 2025. "Interpretive aspects of claim language and patent scope," Research Policy, Elsevier, vol. 54(2).
    15. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    16. Satoshi Yasukawa & Shingo Kano, 2014. "Validating the usefulness of examiners’ forward citations from the viewpoint of applicants’ self-selection during the patent application procedure," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 895-909, June.
    17. Juranek, Steffen, 2018. "Investing in legal advice," Information Economics and Policy, Elsevier, vol. 44(C), pages 28-46.
    18. Huo, Dong & Motohashi, Kazuyuki, 2014. "Dilemma in Individual Collaboration for Invention: Should We be Similar or Diverse in Knowledge?," MPRA Paper 56185, University Library of Munich, Germany.
    19. Valentin J. Schmitt, 2025. "Disentangling patent quality: using a large language model for a systematic literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(1), pages 267-311, January.
    20. Dahlin, Kristina & Taylor, Margaret & Fichman, Mark, 2004. "Today's Edisons or weekend hobbyists: technical merit and success of inventions by independent inventors," Research Policy, Elsevier, vol. 33(8), pages 1167-1183, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0322182. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.