Clinical text data in machine learning: systematic review

Cited by (358)

Items 301–358 of 358

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7. Additional file 2 of Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system
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8. Additional file 1 of Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models
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10. Additional file 2 of Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models
    Azzouzi, Mohamed El, Coatrieux, Gouenou, Reda Bellafqira, Denis Delamarre D, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia A, Guillaume Bouzillé · 2024 · Figshare
11. Additional file 1 of Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system
    Chen, Yifu, Lucy Hao, Vito Z. Zou, Zsuzsanna Hollander, Ng, Raymond T., Isaac, Kathryn V. · 2022 · Figshare
12. Additional file 1 of A systematic review of natural language processing applied to radiology reports
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13. Additional file 3 of Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models
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14. Additional file 4 of Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system
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15. A modular pipeline for natural language processing-screened human abstraction of a pragmatic trial outcome from electronic health records
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16. Actively Evaluating and Learning the Distinctions that Matter: Vaccine Safety Signal Detection from Emergency Triage Notes
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17. Ethical, Legal, and Social Implications of Automated Adverse Drug Reaction Detection: Applying the VALIDATE Framework in a Systematic Review (Preprint)
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18. OncoRAG: graph-based retrieval enabling clinical phenotyping from oncology notes using local mid-size language models
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27. Natural Language Processing of Large Numbers of Radiology Reports in a Public Health System to Extract Structured Data, With a Test Case of CT KUB
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30. Extracting structured clinical data from pediatric emergency records using LLMs: A multimodel retrospective study of children with medical complexity
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31. Replicability and Validity of a New Artificial-Intelligence Assessment of Posttraumatic Stress Disorder From Patient Language: A Sequential Evaluation With Model Preregistration
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39. The Impact of Representation Choice on Clinical Text Classification Tasks
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43. Assessing different machine learning algorithms to identify traumatic cardiac arrest: Proof of concept
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48. Augmenting structured diagnoses through effective use of pre-trained large language models on clinical notes
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51. Natural Language Processing Model for Detecting Inconsistencies between Clinical Notes, Problem Lists, Medication Orders, and Billing Codes in Electronic Health Records
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