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

Reviews in Medical Informatics (93) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Natural Language Processing (692)

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 (300) Tweetations (40) 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;42(9):636 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
  225. Kalra N, Verma P, Verma S. Advancements in AI based healthcare techniques with FOCUS ON diagnostic techniques. Computers in Biology and Medicine 2024;179:108917 View
  226. Mahdavifar S, Fakhrahmad S, Ansarifard E. Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model. International Dental Journal 2024 View
  227. Feher B, Tussie C, Giannobile W. Applied artificial intelligence in dentistry: emerging data modalities and modeling approaches. Frontiers in Artificial Intelligence 2024;7 View
  228. Chen J, Liu L, Huang J, Jiang Y, Yin C, Zhang L, Li Z, Lu H. LSTM-Based Prediction Model for Tuberculosis Among HIV-Infected Patients Using Structured Electronic Medical Records: A Retrospective Machine Learning Study. Journal of Multidisciplinary Healthcare 2024;Volume 17:3557 View
  229. Darer J, Pesa J, Choudhry Z, Batista A, Parab P, Yang X, Govindarajan R. Characterizing Myasthenia Gravis Symptoms, Exacerbations, and Crises From Neurologist's Clinical Notes Using Natural Language Processing. Cureus 2024 View
  230. Agrawal S, Vagha S. A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future Outlook. Cureus 2024 View
  231. Ahmadi-Hadad A, De Rosa E, Di Serafino L, Esposito G. Artificial Intelligence as a Tool for Diagnosis of Cardiac Amyloidosis: A Systematic Review. Journal of Medical and Biological Engineering 2024;44(4):499 View
  232. Saigaonkar S, Narawade V. Domain adaptation of transformer-based neural network model for clinical note classification in Indian healthcare. International Journal of Information Technology 2024 View
  233. Albashayreh A, Bandyopadhyay A, Zeinali N, Zhang M, Fan W, Gilbertson White S. Natural Language Processing Accurately Differentiates Cancer Symptom Information in Electronic Health Record Narratives. JCO Clinical Cancer Informatics 2024;(8) View
  234. Frankenberger W, Zorc J, Cato K. Prioritizing Pediatric Emergency Triage—Sorting Out the Challenges. JAMA Pediatrics 2024;178(10):972 View
  235. Guralnik E. US public health surveillance, reimagined. Learning Health Systems 2024;8(4) View
  236. Xu D, Xu Z. Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives. Artificial Intelligence in Medicine 2024;156:102950 View
  237. Swinckels L, Bennis F, Ziesemer K, Scheerman J, Bijwaard H, de Keijzer A, Bruers J. The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review. Journal of Medical Internet Research 2024;26:e48320 View
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  239. Mustafa A, Rahimi Azghadi M. Clustered Automated Machine Learning (CAML) model for clinical coding multi-label classification. International Journal of Machine Learning and Cybernetics 2024 View
  240. Veras Florentino P, Araújo V, Zatti H, Luis C, Cavalcanti C, de Oliveira M, Leão A, Bertoldo Junior J, Barbosa G, Ravera E, Cebukin A, David R, de Melo D, Machado T, Bellei N, Boaventura V, Barral-Netto M, Smaili S. Text mining method to unravel long COVID’s clinical condition in hospitalized patients. Cell Death & Disease 2024;15(9) View
  241. Krones F, Marikkar U, Parsons G, Szmul A, Mahdi A. Review of multimodal machine learning approaches in healthcare. Information Fusion 2025;114:102690 View
  242. Abdullah N, Husin N, Goh Y, Kamaruddin M, Abdullah M, Yusri A, Kamalul Arifin A, Jamal R. Development of digital health management systems in longitudinal study: The Malaysian cohort experience. DIGITAL HEALTH 2024;10 View
  243. 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
  244. Nair P, Gupta D, Devi B, Kanjirangat V, Deepak P. Predicting Tumor Type and Residual Status of Suprasellar Lesions Using Indian Discharge Summaries. IEEE Access 2024;12:134379 View
  245. Walsh C, Wilimitis D, Chen Q, Wright A, Kolli J, Robinson K, Ripperger M, Johnson K, Carrell D, Desai R, Mosholder A, Dharmarajan S, Adimadhyam S, Fabbri D, Stojanovic D, Matheny M, Bejan C. Scalable incident detection via natural language processing and probabilistic language models. Scientific Reports 2024;14(1) View
  246. Cheligeer K, Wu G, Laws A, Quan M, Li A, Brisson A, Xie J, Xu Y. Validation of large language models for detecting pathologic complete response in breast cancer using population-based pathology reports. BMC Medical Informatics and Decision Making 2024;24(1) View
  247. Lázaro E, Moscardó V. Qualitative Health-Related Quality of Life and Natural Language Processing: Characteristics, Implications, and Challenges. Healthcare 2024;12(19):2008 View
  248. Tang T, Han Z, Yu S, Bagirov A, Zhang Q. Fuzzy Multiview Graph Learning on Sparse Electronic Health Records. IEEE Transactions on Fuzzy Systems 2024;32(10):5520 View
  249. Du X, Novoa-Laurentiev J, Plasek J, Chuang Y, Wang L, Marshall G, Mueller S, Chang F, Datta S, Paek H, Lin B, Wei Q, Wang X, Wang J, Ding H, Manion F, Du J, Bates D, Zhou L. Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes. eBioMedicine 2024;109:105401 View
  250. Lee K, Paek H, Huang L, Hilton C, Datta S, Higashi J, Ofoegbu N, Wang J, Rubinstein S, Cowan A, Kwok M, Warner J, Xu H, Wang X. SEETrials: Leveraging large language models for safety and efficacy extraction in oncology clinical trials. Informatics in Medicine Unlocked 2024;50:101589 View
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  252. Cook N, Biel F, Cartwright N, Hoopes M, Al Bataineh A, Rivera P. Assessing the use of unstructured electronic health record data to identify exposure to firearm violence. JAMIA Open 2024;7(4) View
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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
  30. Tiwari N. Application of Large Language Models (LLMs) for Software Vulnerability Detection. View