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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

Journal of the American Medical Informatics Association : JAMIA, 2010-09, Vol.17 (5), p.507-513

2010

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Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

Cancer research (Chicago, Ill.), 2019-11, Vol.79 (21), p.5463-5470

2019

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Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts

PloS one, 2015-08, Vol.10 (8), p.e0136651-e0136651

2015

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Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer

International journal of radiation oncology, biology, physics, 2021-07, Vol.110 (3), p.641-655

2021

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Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

Journal of the American Medical Informatics Association : JAMIA, 2011-09, Vol.18 (5), p.540-543

2011

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Multilayered temporal modeling for the clinical domain

Journal of the American Medical Informatics Association : JAMIA, 2016-03, Vol.23 (2), p.387-395

2016

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Automatic prediction of rheumatoid arthritis disease activity from the electronic medical records

PloS one, 2013-08, Vol.8 (8), p.e69932-e69932

2013

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Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease

Journal of the American Medical Informatics Association : JAMIA, 2010-09, Vol.17 (5), p.568-574

2010

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Coreference resolution: A review of general methodologies and applications in the clinical domain

Journal of biomedical informatics, 2011-12, Vol.44 (6), p.1113-1122

2011

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Modeling disease severity in multiple sclerosis using electronic health records

PloS one, 2013-11, Vol.8 (11), p.e78927-e78927

2013

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Large language models to identify social determinants of health in electronic health records

NPJ digital medicine, 2024-01, Vol.7 (1), p.6-6, Article 6

2024

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Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing

Journal of digital imaging, 2010-04, Vol.23 (2), p.119-132

2010

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Development of phenotype algorithms using electronic medical records and incorporating natural language processing

BMJ (Online), 2015-04, Vol.350, p.h1885

2015

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Evaluating the ChatGPT family of models for biomedical reasoning and classification

Journal of the American Medical Informatics Association : JAMIA, 2024-04, Vol.31 (4), p.940-948

2024

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An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts

International journal of radiation oncology, biology, physics, 2023-09, Vol.117 (1), p.262-273

2023

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Considerations for Prompting Large Language Models-Reply

JAMA oncology, 2024-04, Vol.10 (4), p.538

2024

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DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records

Cancer research (Chicago, Ill.), 2017-11, Vol.77 (21), p.e115-e118

2017

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Use of Artificial Intelligence Chatbots for Cancer Treatment Information

JAMA oncology, 2023-10, Vol.9 (10), p.1459

2023

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Word sense disambiguation across two domains: Biomedical literature and clinical notes

Journal of biomedical informatics, 2008-12, Vol.41 (6), p.1088-1100

2008

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Towards comprehensive syntactic and semantic annotations of the clinical narrative

Journal of the American Medical Informatics Association : JAMIA, 2013-09, Vol.20 (5), p.922-930

2013

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Drug side effect extraction from clinical narratives of psychiatry and psychology patients

Journal of the American Medical Informatics Association : JAMIA, 2011-12, Vol.18 Suppl 1 (Supplement_1), p.i144-i149

2011

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Discovering body site and severity modifiers in clinical texts

Journal of the American Medical Informatics Association : JAMIA, 2014-05, Vol.21 (3), p.448-454

2014

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Supervised methods to extract clinical events from cardiology reports in Italian

Journal of biomedical informatics, 2019-07, Vol.95, p.103219-103219, Article 103219

2019

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A common type system for clinical natural language processing

Journal of biomedical semantics, 2013-01, Vol.4 (1), p.1-1

2013

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Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record

Journal of the American Medical Informatics Association : JAMIA, 2015-04, Vol.22 (e1), p.e151-e161

2015

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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts

Clinical Natural Language Processing for Radiation Oncology: A Review and Practical Primer

Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

Multilayered temporal modeling for the clinical domain

Automatic prediction of rheumatoid arthritis disease activity from the electronic medical records

Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease

Coreference resolution: A review of general methodologies and applications in the clinical domain

Modeling disease severity in multiple sclerosis using electronic health records

Large language models to identify social determinants of health in electronic health records

Discerning Tumor Status from Unstructured MRI Reports—Completeness of Information in Existing Reports and Utility of Automated Natural Language Processing

Development of phenotype algorithms using electronic medical records and incorporating natural language processing

Evaluating the ChatGPT family of models for biomedical reasoning and classification

An End-to-End Natural Language Processing System for Automatically Extracting Radiation Therapy Events From Clinical Texts

Considerations for Prompting Large Language Models-Reply

DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records

Use of Artificial Intelligence Chatbots for Cancer Treatment Information

Word sense disambiguation across two domains: Biomedical literature and clinical notes

Towards comprehensive syntactic and semantic annotations of the clinical narrative

Drug side effect extraction from clinical narratives of psychiatry and psychology patients

Discovering body site and severity modifiers in clinical texts

Supervised methods to extract clinical events from cardiology reports in Italian

A common type system for clinical natural language processing

Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record

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