This paper is in the following e-collection/theme issue:

Theme issue 2019: Health Natural Language Processing (17) Editorial (49) Natural Language Processing (706) Decision Support for Health Professionals (1210) Methodological Innovations (26) New Methods (963)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23898, first published .
Health Natural Language Processing: Methodology Development and Applications

Health Natural Language Processing: Methodology Development and Applications

Health Natural Language Processing: Methodology Development and Applications

Authors of this article:

Tianyong Hao1 Author Orcid Image ;   Zhengxing Huang2 Author Orcid Image ;   Likeng Liang1 Author Orcid Image ;   Heng Weng3 Author Orcid Image ;   Buzhou Tang4 Author Orcid Image
Article Authors Cited by (19) Tweetations (5) Metrics

Journals

  1. Tamang S, Humbert-Droz M, Gianfrancesco M, Izadi Z, Schmajuk G, Yazdany J. Practical Considerations for Developing Clinical Natural Language Processing Systems for Population Health Management and Measurement. JMIR Medical Informatics 2023;11:e37805 View
  2. Binsfeld Gonçalves L, Nesic I, Obradovic M, Stieltjes B, Weikert T, Bremerich J. Natural Language Processing and Graph Theory: Making Sense of Imaging Records in a Novel Representation Frame. JMIR Medical Informatics 2022;10(12):e40534 View
  3. Sukhera J, Ahmed H. Leveraging Machine Learning to Understand How Emotions Influence Equity Related Education: Quasi-Experimental Study. JMIR Medical Education 2022;8(1):e33934 View
  4. Shu C, Chen Y, Yang H, Tao R, Chen X, Yu J. Investigation and Countermeasures Research of Hospital Information Construction of Tertiary Class-A Public Hospitals in China: Questionnaire Study. JMIR Formative Research 2023;7:e41820 View
  5. Kosowan L, Singer A, Zulkernine F, Zafari H, Nesca M, Muthumuni D. Pan-Canadian Electronic Medical Record Diagnostic and Unstructured Text Data for Capturing PTSD: Retrospective Observational Study. JMIR Medical Informatics 2022;10(12):e41312 View
  6. Hamamoto R, Koyama T, Kouno N, Yasuda T, Yui S, Sudo K, Hirata M, Sunami K, Kubo T, Takasawa K, Takahashi S, Machino H, Kobayashi K, Asada K, Komatsu M, Kaneko S, Yatabe Y, Yamamoto N. Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information. Experimental Hematology & Oncology 2022;11(1) View
  7. Rui A, Garabedian P, Marceau M, Syrowatka A, Volk L, Edrees H, Seger D, Amato M, Cambre J, Dulgarian S, Newmark L, Nanji K, Schultz P, Jackson G, Rozenblum R, Bates D. Performance of a Web-Based Reference Database With Natural Language Searching Capabilities: Usability Evaluation of DynaMed and Micromedex With Watson. JMIR Human Factors 2023;10:e43960 View
  8. Simhadri S, Yalamanchi S, Stone S, Srinivasan M. Perceptions on Oral Ulcers From Facebook Page Categories: Observational Study. JMIR Formative Research 2023;7:e45281 View
  9. Behrooz H, Lipizzi C, Korfiatis G, Ilbeigi M, Powell M, Nouri M. Towards Automating the Identification of Sustainable Projects Seeking Financial Support: An AI-Powered Approach. Sustainability 2023;15(12):9701 View
  10. Chen J, Creamer G, Ning Y, Ben-Zvi T. Healthcare Sustainability: Hospitalization Rate Forecasting with Transfer Learning and Location-Aware News Analysis. Sustainability 2023;15(22):15840 View
  11. Huang J, Yang D, Rong R, Nezafati K, Treager C, Chi Z, Wang S, Cheng X, Guo Y, Klesse L, Xiao G, Peterson E, Zhan X, Xie Y. A critical assessment of using ChatGPT for extracting structured data from clinical notes. npj Digital Medicine 2024;7(1) View
  12. Powers C, Yang A, Verma H, Orloff J, Piontkowski A, Gulati N. Online Patient Attitudes Toward Cutaneous Immune-Related Adverse Events Attributed to Nivolumab and Pembrolizumab: Sentiment Analysis. JMIR Dermatology 2024;7:e53792 View
  13. Jayousi S, Barchielli C, Alaimo M, Caputo S, Paffetti M, Zoppi P, Mucchi L. ICT in Nursing and Patient Healthcare Management: Scoping Review and Case Studies. Sensors 2024;24(10):3129 View
  14. Logotheti S, Pavlopoulou A, Rudsari H, Galow A, Kafalı Y, Kyrodimos E, Giotakis A, Marquardt S, Velalopoulou A, Verginadis I, Koumenis C, Stiewe T, Zoidakis J, Balasingham I, David R, Georgakilas A. Intercellular pathways of cancer treatment-related cardiotoxicity and their therapeutic implications: the paradigm of radiotherapy. Pharmacology & Therapeutics 2024;260:108670 View
  15. Ogletree A, Percy-Laurry A, Assenov A, Dinwiddie G, Jones N, Marshall V, Motley E, Williams-Parry K, Farhat T. Social Determinants of Health Research at NIMHD: An Analysis of Studies Funded During 2019–2023. American Journal of Preventive Medicine 2024;67(5):713 View
  16. Wang Y, O’Connor K, Flores I, Berdahl C, Urbanowicz R, Stevens R, Bauermeister J, Gonzalez-Hernandez G. Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic. JMIR Public Health and Surveillance 2024;10:e59193 View
  17. Lin S, Tulabandu S, Koch J, Hayes R, Barnes A, Purohit H, Chen S, Han B, Xue H. Public Response to Federal Electronic Cigarette Regulations Analyzed Using Social Media Data Through Natural Language Processing: Topic Modeling Study. Journal of Medical Internet Research 2024;26:e58919 View
  18. Villegas-Ch W, Govea J, Albuja R, Buenaño-Fernández D, Mera-Navarrete A. Optimizing Automated Educational Systems: Adaptive Syllabus Generation and Precise Assessment Using Artificial Intelligence. IEEE Access 2024;12:173390 View

Books/Policy Documents

  1. Jabir K, Thirumurthi Raja A. Computational Intelligence for Clinical Diagnosis. View