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Citing this Article

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Published on 22.01.18 in Vol 20, No 1 (2018): January

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

Works citing "A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews"

Jinying Chen, Emily Druhl, Balaji Polepalli Ramesh, Thomas K Houston, Cynthia A Brandt, Donna M Zulman, Varsha G Vimalananda, Samir Malkani, Hong Yu

J Med Internet Res 2018 (Jan 22); 20(1):e26 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.8669):

(note that this is only a small subset of citations)

  1. Metting E, Schrage AJ, Kocks JW, Sanderman R, van der Molen T. Assessing the Needs and Perspectives of Patients With Asthma and Chronic Obstructive Pulmonary Disease on Patient Web Portals: Focus Group Study. JMIR Formative Research 2018;2(2):e22
    CrossRef
  2. Dai M, Huang Q, Lu Z, Chen B, Wang H, Qin X. Power Allocation for Multiple Transmitter-Receiver Pairs Under Frequency-Selective Fading Based on Convolutional Neural Network. IEEE Access 2020;8:31018
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  3. Leeson W, Resnick A, Alexander D, Rovers J. Natural Language Processing (NLP) in Qualitative Public Health Research: A Proof of Concept Study. International Journal of Qualitative Methods 2019;18:160940691988702
    CrossRef
  4. Li F, Jin Y, Liu W, Rawat BPS, 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
    CrossRef
  5. Dias R, Torkamani A. Artificial intelligence in clinical and genomic diagnostics. Genome Medicine 2019;11(1)
    CrossRef
  6. Bala S, Keniston A, Burden M. Patient Perception of Plain-Language Medical Notes Generated Using Artificial Intelligence Software: Pilot Mixed-Methods Study. JMIR Formative Research 2020;4(6):e16670
    CrossRef
  7. Wang Y, Sohn S, Liu S, Shen F, Wang L, Atkinson EJ, Amin S, Liu H. A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics and Decision Making 2019;19(1)
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  8. Priyadarshi A, Saha SK. Web Information Extraction for Finding Remedy Based on a Patient-Authored Text: A Study on Homeopathy. Network Modeling Analysis in Health Informatics and Bioinformatics 2020;9(1)
    CrossRef
  9. Moore N, Yoo S, Poronnik P, Brown M, Ahmadpour N. Exploring User Needs in the Development of a Virtual Reality–Based Advanced Life Support Training Platform: Exploratory Usability Study. JMIR Serious Games 2020;8(3):e20797
    CrossRef
  10. Esmaeilzadeh P, Mirzaei T, Maddah M. The effects of data entry structure on patients’ perceptions of information quality in Health Information Exchange (HIE). International Journal of Medical Informatics 2020;135:104058
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  11. Blok AC, Amante DJ, Hogan TP, Sadasivam RS, Shimada SL, Woods S, Nazi KM, Houston TK. Impact of Patient Access to Online VA Notes on Healthcare Utilization and Clinician Documentation: a Retrospective Cohort Study. Journal of General Internal Medicine 2021;36(3):592
    CrossRef
  12. Lalor JP, Hu W, Tran M, Wu H, Mazor KM, Yu H. Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients. Journal of Medical Internet Research 2021;23(5):e26354
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  13. van Mens HJ, Martens SS, Paiman EH, Mertens AC, Nienhuis R, de Keizer NF, Cornet R. Diagnosis clarification by generalization to patient-friendly terms and definitions: Validation study. Journal of Biomedical Informatics 2022;129:104071
    CrossRef
  14. Combi C, Amico B, Bellazzi R, Holzinger A, Moore JH, Zitnik M, Holmes JH. A manifesto on explainability for artificial intelligence in medicine. Artificial Intelligence in Medicine 2022;133:102423
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  15. Doppalapudi S, Wang T, Qiu R. Transforming unstructured digital clinical notes for improved health literacy. Digital Transformation and Society 2022;1(1):9
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  16. Jabali AK, Waris A, Khan DI, Ahmed S, Hourani RJ. Electronic health records: Three decades of bibliometric research productivity analysis and some insights. Informatics in Medicine Unlocked 2022;29:100872
    CrossRef
  17. Kujala S, Hörhammer I, Väyrynen A, Holmroos M, Nättiaho-Rönnholm M, Hägglund M, Johansen MA. Patients' Experiences of Web-Based Access to Electronic Health Records in Finland: Cross-sectional Survey. Journal of Medical Internet Research 2022;24(6):e37438
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  18. Yilmaz Y, Jurado Nunez A, Ariaeinejad A, Lee M, Sherbino J, Chan TM. Harnessing Natural Language Processing to Support Decisions Around Workplace-Based Assessment: Machine Learning Study of Competency-Based Medical Education. JMIR Medical Education 2022;8(2):e30537
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  19. Keloth VK, Zhou S, Lindemann L, Zheng L, Elhanan G, Einstein AJ, Geller J, Perl Y. Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. BMC Medical Informatics and Decision Making 2023;23(S1)
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  20. Lalor JP, Wu H, Mazor KM, Yu H. Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk. International Journal of Medical Informatics 2023;172:105006
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  21. Li X, Zhang Y, Jin J, Sun F, Li N, Liang S, Ijaz MF. A model of integrating convolution and BiGRU dual-channel mechanism for Chinese medical text classifications. PLOS ONE 2023;18(3):e0282824
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  22. Tenorio JM, de Moraes FL, Pisa IT. CHV.br: Exploratory study for the development of a consumer health vocabulary (CHV) supported by a network model for Brazilian Portuguese language. Journal of Information Science 2023;
    CrossRef
  23. van Mens HJT, Hannen GEG, Nienhuis R, Bolt RJ, de Keizer NF, Cornet R. Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal. Applied Clinical Informatics 2023;14(03):455
    CrossRef
  24. Nacht CL, Jacobson N, Shiyanbola O, Smith CA, Hoonakker PL, Coller RJ, Dean SM, Sklansky DJ, Smith W, Sprackling CM, Kelly MM. Perception of Physicians’ Notes Among Parents of Different Health Literacy Levels. Hospital Pediatrics 2024;14(2):108
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.8669):

  1. Lloyd N, Khuman AS. Artificial Intelligence in Healthcare. 2022. Chapter 1:1
    CrossRef
  2. Ningtyas AM, El-Ebshihy A, Herwanto GB, Piroi F, Hanbury A. Experimental IR Meets Multilinguality, Multimodality, and Interaction. 2022. Chapter 3:33
    CrossRef
  3. Mishra M, Dubey V, Hackett TA, Kashyap MK. Artificial Intelligence and Machine Learning in Healthcare. 2023. Chapter 3:39
    CrossRef