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Published on in Vol 21, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13316, first published .
Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017

Journals

  1. Li F, Jin Y, Liu W, Rawat B, Cai P, Yu H. Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study. JMIR Medical Informatics 2019;7(3):e14830 View
  2. Huang M, Shah N, Yao L. Evaluating global and local sequence alignment methods for comparing patient medical records. BMC Medical Informatics and Decision Making 2019;19(S6) View
  3. Xu L, Qi M, Ye F. Identifying Scientific and Technical “Unicorns”. Journal of Data and Information Science 2021;6(2):96 View
  4. Zolnoori M, Huang M, Patten C, Balls-Berry J, Goudarzvand S, Brockman T, Sagheb E, Yao L. Mining news media for understanding public health concerns. Journal of Clinical and Translational Science 2021;5(1) View
  5. De A, Huang M, Feng T, Yue X, Yao L. Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study. Journal of Medical Internet Research 2021;23(7):e26770 View
  6. Wang Q, Li C, Ali G. An evolutionary analysis of new energy and industry policy tools in China based on large-scale policy topic modeling. PLOS ONE 2021;16(5):e0252502 View
  7. Jiang L, Zou F, Qiao Y, Huang Y. Patent analysis for generating the technology landscape and competition situation of renewable energy. Journal of Cleaner Production 2022;378:134264 View
  8. Bai Y, Du J. Measuring the impact of health research data in terms of data citations by scientific publications. Scientometrics 2022;127(12):6881 View
  9. Gupta N, Kaushik B. Prognosis and Prediction of Breast Cancer Using Machine Learning and Ensemble-Based Training Model. The Computer Journal 2023;66(1):70 View
  10. MUTLU N, ALTUNTAŞ S. Teknolojik değişimlerin patent verilerine dayalı istatistiksel kontrol grafikleri ile izlenmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 2021;36(4):1875 View
  11. Ma X, Xue P, Li M, Matta N. Detection and analysis of emergency topic in social media considering changing roles of stakeholders. Online Information Review 2023;47(2):238 View
  12. Omranian S, Zolnoori M, Huang M, Campos-Castillo C, McRoy S. Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media. JMIR Infodemiology 2023;3:e37207 View
  13. Gao Q, Huang X, Dong K, Liang Z, Wu J. Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec. Scientometrics 2022;127(3):1543 View
  14. Onorato C, Madeu F, Tsakalova M, Deligkiozi I, Zoikis Karathanasis A. Navigating the mycelium patent maze: A holistic approach to patent mapping in production technologies. World Patent Information 2024;76:102265 View
  15. Nuttah M, Algabroun H, Linhares C, Håkansson L. Creative Destruction and Technological Paradigms in Manufacturing: A Large-Scale Review and Framework for Technology Portfolio Assessment. IEEE Transactions on Engineering Management 2025;72:3397 View
  16. Shin H, Ryu S, Lee S. Information characteristics of patents and academic papers for drug repurposing. Scientometrics 2026;131(4):2079 View
  17. Mahmud N, Ang M, Kor A, Ng K, Chaw J, Gunasekaran S, Zaman H. Product Innovation Information Using Large Language Model Based on TRIZ and Patent Mining Focusing on Sustainability. IEEE Access 2026;14:66770 View

Books/Policy Documents

  1. Huang M, Shah N, Yao L. Explainable AI in Healthcare and Medicine. View