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

Reviews in Medical Informatics (83) Clinical Information and Decision Making (1340) Decision Support for Health Professionals (1147) Electronic Health Records (971) Natural Language Processing (650)

Published on in Vol 7, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12239, first published .
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Authors of this article:

Seyedmostafa Sheikhalishahi1, 2 Author Orcid Image ;   Riccardo Miotto3 Author Orcid Image ;   Joel T Dudley3 Author Orcid Image ;   Alberto Lavelli4 Author Orcid Image ;   Fabio Rinaldi5 Author Orcid Image ;   Venet Osmani1 Author Orcid Image
Article Authors Cited by (268) Tweetations (41) Metrics

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  220. Smith S, Moorin R, Taylor K, Newton J, Smith S. Collecting routine and timely cancer stage at diagnosis by implementing a cancer staging tiered framework: the Western Australian Cancer Registry experience. BMC Health Services Research 2024;24(1) View
  221. Nazir A, Hussain A, Singh M, Assad A. Deep learning in medicine: advancing healthcare with intelligent solutions and the future of holography imaging in early diagnosis. Multimedia Tools and Applications 2024 View
  222. Cao T, Brady V, Whisenant M, Wang X, Gu Y, Wu H. Toward Reliable Symptom Coding in Electronic Health Records for Symptom Assessment and Research. CIN: Computers, Informatics, Nursing 2024 View
  223. Osman M, Cooper R, Sayer A, Witham M. The use of natural language processing for the identification of ageing syndromes including sarcopenia, frailty and falls in electronic healthcare records: a systematic review. Age and Ageing 2024;53(7) View
  224. Goryachev S, Yildirim C, DuMontier C, La J, Dharne M, Gaziano J, Brophy M, Munshi N, Driver J, Do N, Fillmore N. Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System. JCO Clinical Cancer Informatics 2024;(8) View

Books/Policy Documents

  1. Khoroshevsky V, Efimenko V, Efimenko I. Artificial Intelligence. View
  2. Dal Pont T, Sabo I, Hübner J, Rover A. Intelligent Systems. View
  3. De Freitas J, Glicksberg B, Johnson K, Miotto R. Machine Learning in Cardiovascular Medicine. View
  4. Kubassova O, Shaikh F, Melus C, Mahler M. Precision Medicine and Artificial Intelligence. View
  5. Almeida J, Silva J, Sierra A, Matos S, Oliveira J. Biomedical Engineering Systems and Technologies. View
  6. Moylett S. Big Data in Psychiatry #x0026; Neurology. View
  7. Das N, Topalovic M, Janssens W. Artificial Intelligence in Medicine. View
  8. Sousa R, Oliveira D, Durães D, Neto C, Machado J. Artificial Intelligence XXXIX. View
  9. Hochheiser H, Verma A. Mental Health Informatics. View
  10. Kocbek P, Gosak L, Musović K, Stiglic G. Artificial Intelligence in Medicine. View
  11. Das N, Topalovic M, Janssens W. Artificial Intelligence in Medicine. View
  12. Kumar Attar R, Komal . Artificial Intelligence for Innovative Healthcare Informatics. View
  13. Jungkunz M, Köngeter A, Winkler E, Mehlis K, Schickhardt C. Datenreiche Medizin und das Problem der Einwilligung. View
  14. Saghazadeh A, Rezaei N. Handbook of Cancer and Immunology. View
  15. Pokhriyal P, Chavda V, Pathak M. Bioinformatics Tools for Pharmaceutical Drug Product Development. View
  16. Tyagi N, Bhushan B. Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities. View
  17. Liu Z, Zhang J, Hou Y, Zhang X, Li G, Xiang Y. Health Information Processing. View
  18. Guazzo A, Longato E, Fadini G, Morieri M, Sparacino G, Di Camillo B. Machine Learning, Optimization, and Data Science. View
  19. Rakesh B, Nayak S. Deep Learning in Personalized Healthcare and Decision Support. View
  20. Mudgil A, Rauniyar K, Goel R, Thapa S, Negi A. Computational Intelligence for Medical Internet of Things (MIoT) Applications. View
  21. Shoenbill K, Kasturi S, Mendonca E. Chronic Illness Care. View
  22. Almeida J, Pazos A, Oliveira J. Technological Innovation for Connected Cyber Physical Spaces. View
  23. Agiollo A, Cavalcante Siebert L, Murukannaiah P, Omicini A. Explainable and Transparent AI and Multi-Agent Systems. View
  24. Singh S, Joshi R, Jain P, Abilash K. Emotional AI and Human-AI Interactions in Social Networking. View
  25. Montenegro L, Gomes L, Machado J. Progress in Artificial Intelligence. View
  26. Clark G, Vistoso Monreal A, Veas N, E. Loeb G. Decision Support Systems (DSS) and Tools [Working Title]. View
  27. . Smart Edge Computing. View
  28. Hou Y, Mostafa J. Wisdom, Well-Being, Win-Win. View
  29. Huang H, Khan A, Parikh C, Basit J, Saeed S, Nair A, Mehta A, Tse G. Internet of Things and Machine Learning for Type I and Type II Diabetes. View