Published on in Vol 8, No 3 (2020): March

Clinical Text Data in Machine Learning: Systematic Review

Clinical Text Data in Machine Learning: Systematic Review

Clinical Text Data in Machine Learning: Systematic Review

Authors of this article:

Irena Spasic1 Author Orcid Image ;   Goran Nenadic2 Author Orcid Image

Journals

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  39. Seinen T, Fridgeirsson E, Ioannou S, Jeannetot D, John L, Kors J, Markus A, Pera V, Rekkas A, Williams R, Yang C, van Mulligen E, Rijnbeek P. Use of unstructured text in prognostic clinical prediction models: a systematic review. Journal of the American Medical Informatics Association 2022;29(7):1292 View
  40. de Burgos‐Gonzalez A, Bryant V, Maciá‐Martinez M, Huerta C. A strategy for assessment and validation of major bleeding cases in a primary health care database in Spain. Pharmacoepidemiology and Drug Safety 2021;30(12):1696 View
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  46. Žunić A, Corcoran P, Spasić I. Aspect-based sentiment analysis with graph convolution over syntactic dependencies. Artificial Intelligence in Medicine 2021;119:102138 View
  47. Cuenca-Zaldívar J, Torrente-Regidor M, Martín-Losada L, Fernández-De-Las-Peñas C, Florencio L, Sousa P, Palacios-Ceña D. Exploring Sentiment and Care Management of Hospitalized Patients During the First Wave of the COVID-19 Pandemic Using Electronic Nursing Health Records: Descriptive Study. JMIR Medical Informatics 2022;10(5):e38308 View
  48. Edrees H, Song W, Syrowatka A, Simona A, Amato M, Bates D. Intelligent Telehealth in Pharmacovigilance: A Future Perspective. Drug Safety 2022;45(5):449 View
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  63. Hudon A, Beaudoin M, Phraxayavong K, Dellazizzo L, Potvin S, Dumais A. Use of Automated Thematic Annotations for Small Data Sets in a Psychotherapeutic Context: Systematic Review of Machine Learning Algorithms. JMIR Mental Health 2021;8(10):e22651 View
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  124. Laricheva M, Liu Y, Shi E, Wu A. Scoping review on natural language processing applications in counselling and psychotherapy. British Journal of Psychology 2024 View
  125. Priou S, Kempf E, Flicoteaux R, Jankovic M, Chatellier G, Tournigand C, Daniel C, Lamé G. 'Where have my patients gone?': A simulation study on real-world data processing in Clinical Data Warehouses. Health Policy and Technology 2024;13(3):100893 View
  126. Abu Tareq Rony M, Shariful Islam M, Sultan T, Alshathri S, El-Shafai W. MediGPT: Exploring Potentials of Conventional and Large Language Models on Medical Data. IEEE Access 2024;12:103473 View
  127. Kempf E, Priou S, Cohen A, Redjdal A, Guével E, Tannier X. The More, the Better? Modalities of Metastatic Status Extraction on Free Medical Reports Based on Natural Language Processing. JCO Clinical Cancer Informatics 2024;(8) View
  128. Kaya C, Kilimci Z, Uysal M, Kaya M. Migrating birds optimization-based feature selection for text classification. PeerJ Computer Science 2024;10:e2263 View
  129. Dalal A, Ranjan S, Bopaiah Y, Chembachere D, Steiger N, Burns C, Daswani V. Text summarization for pharmaceutical sciences using hierarchical clustering with a weighted evaluation methodology. Scientific Reports 2024;14(1) View
  130. Krones F, Marikkar U, Parsons G, Szmul A, Mahdi A. Review of multimodal machine learning approaches in healthcare. Information Fusion 2025;114:102690 View
  131. Chang E, Sung S. Use of SNOMED CT in Large Language Models: Scoping Review. JMIR Medical Informatics 2024;12:e62924 View
  132. Kugic A, Martin I, Modersohn L, Pallaoro P, Kreuzthaler M, Schulz S, Boeker M. Processing of Short-Form Content in Clinical Narratives: Systematic Scoping Review. Journal of Medical Internet Research 2024;26:e57852 View
  133. Cho S, Jeon J, Lee D, Lee C, Kim J. DSG-KD: Knowledge Distillation From Domain-Specific to General Language Models. IEEE Access 2024;12:130973 View
  134. Liu W, Kan H, Jiang Y, Geng Y, Nie Y, Yang M. MED-ChatGPT CoPilot: a ChatGPT medical assistant for case mining and adjunctive therapy. Frontiers in Medicine 2024;11 View

Books/Policy Documents

  1. Liu Z, Zhang J, Hou Y, Zhang X, Li G, Xiang Y. Health Information Processing. View
  2. Chandru A, Seetharam K. Software Engineering Perspectives in Systems. View
  3. Kocbek P, Gosak L, Musović K, Stiglic G. Artificial Intelligence in Medicine. View
  4. Kumar Attar R, Komal . Artificial Intelligence for Innovative Healthcare Informatics. View
  5. Nakonechnyi O, Martsenyuk V, Klos-Witkowska A, Zhehestovska D. Proceedings of Sixth International Congress on Information and Communication Technology. View
  6. Campos R, Jatowt A, Jorge A. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity. View
  7. Bagheri A, Giachanou A, Mosteiro P, Verberne S. Clinical Applications of Artificial Intelligence in Real-World Data. View
  8. Levy J, Vaickus L. Diagnostic Molecular Pathology. View
  9. Bijli M, Nisa U, Makhdomi A, Hamadani H. A Biologist�s Guide to Artificial Intelligence. View
  10. Daumke P, Haverkamp C, Heckmann S, Kuper M, Müller A, Oemig F, Ripperger U, Sabutsch S, Sander A, Schulz S. Health Data Management. View
  11. Cohen T, Pakhomov S, Paullada A, Yetisgen M. Natural Language Processing in Biomedicine. View
  12. Bharadwaj A. Green Industrial Applications of Artificial Intelligence and Internet of Things. View
  13. Tiwari N. Application of Large Language Models (LLMs) for Software Vulnerability Detection. View