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Keyword

clinical notes

Description: Clinical notes are records of patient histories, assessments, diagnoses, decisions, and care created by healthcare professionals.
OpenAlex ID: keywords/clinical-notes
Scalable and accurate deep learning with electronic health records
2018 · Alvin Rajkomar, Eyal Oren, et al. · npj Digital Medicine · 2,629
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Scalable and accurate deep learning with electronic health records.
2018 · Rajkomar, Alvin, Oren, Eyal, et al. · eScholarship (California Digital Library) · 2,243
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
2019 · Huang, Kexin, Altosaar, Jaan, et al. · arXiv (Cornell University) · 618
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Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
2019 · Seyedmostafa Sheikhalishahi, Riccardo Miotto, et al. · JMIR Medical Informatics · 558
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MedEx: a medication information extraction system for clinical narratives
2010 · H. Xu, S. P Stenner, et al. · Journal of the American Medical Informatics Association · 531
Natural language processing applied to mental illness detection: a narrative review
2022 · Tianlin Zhang, Annika M. Schoene, et al. · npj Digital Medicine · 472
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Data from clinical notes: a perspective on the tension between structure and flexible documentation
2011 · S. T. Rosenbloom, J. C. Denny, et al. · Journal of the American Medical Informatics Association · 403
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Can AI Help Reduce Disparities in General Medical and Mental Health Care?
2019 · Irene Y. Chen, Peter Szolovits, et al. · The AMA Journal of Ethic · 399
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De-identification of patient notes with recurrent neural networks
2016 · Franck Dernoncourt, Ji Young Lee, et al. · Journal of the American Medical Informatics Association · 379
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A comparison of word embeddings for the biomedical natural language processing
2018 · Yanshan Wang, Sijia Liu, et al. · Journal of Biomedical Informatics · 370
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Large language models are few-shot clinical information extractors
2022 · Monica Agrawal, Stefan Hegselmann, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 357
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Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook
2024 · Rawan AlSaad, Alaa Abd-alrazaq, et al. · Journal of Medical Internet Research · 341
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Improving large language models for clinical named entity recognition via prompt engineering
2023 · Yan Hu, Qingyu Chen, et al. · Journal of the American Medical Informatics Association · 307
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A critical assessment of using ChatGPT for extracting structured data from clinical notes
2024 · Jingwei Huang, Donghan M. Yang, et al. · npj Digital Medicine · 294
A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data
2018 · Sara Bersche Golas, Takuma Shibahara, et al. · BMC Medical Informatics and Decision Making · 287
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Patient Experiences With Full Electronic Access to Health Records and Clinical Notes Through the My HealtheVet Personal Health Record Pilot: Qualitative Study
2013 · Susan S Woods, Erin Schwartz, et al. · Journal of Medical Internet Research · 268
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A vision–language foundation model for precision oncology
2025 · Jinxi Xiang, Xiyue Wang, et al. · Nature · 253
Natural language processing in medicine: A review
2021 · Saskia Locke, Anthony Bashall, et al. · Trends in Anaesthesia and Critical Care · 252
Sexual dysfunction in primary medical care: prevalence, characteristics and detection by the general practitioner
1997 · S. Read, M. King, et al. · Journal of Public Health · 250
Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts
2013 · Shaodian Zhang, Noémie Elhadad · Journal of Biomedical Informatics · 249
Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance
2015 · Wei-Qi Wei, Pedro L Teixeira, et al. · Journal of the American Medical Informatics Association · 230
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BioSentVec: creating sentence embeddings for biomedical texts
2019 · Qingyu Chen, Yifan Peng, et al. · IEEE International Conference on Healthcare Informatics (ICHI) · 212
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Androgen Deprivation Therapy and Future Alzheimer’s Disease Risk
2015 · Kevin T. Nead, Greg Gaskin, et al. · Journal of Clinical Oncology · 198
Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support
2025 · Mahmud Omar, Vera Sorin, et al. · Communications Medicine · 194
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Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model
2011 · R. H. Perlis, D. V. Iosifescu, et al. · Psychological Medicine · 192
Works count: 5,892
Citation count: 56,340
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