Concepedia

Clinical Note Mining

Clinical Note Mining is a computational methodology within biomedical informatics that involves the systematic extraction and analysis of clinically relevant information from unstructured or semi-structured textual records in electronic health records to support tasks such as adverse drug event detection, diagnosis support, or patient phenotype identification.

241

Publications

10K

Citations

1.1K

Authors

310

Institutions

Publications per year

2017–2026

156

Parents

Publications

241

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Kexin Huang, Jaan Altosaar, Rajesh Ranganath · arXiv (Cornell University) · 2019 · 622 citations · Full text

, , +17

Using electronic medical records to enable large-scale studies in psychiatry: treatment resistant depression as a model

Roy H. Perlis, Dan V. Iosifescu, Víctor M. Castro et al. · Psychological Medicine · 2011 · 201 citations

, , +17

Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach

Wei‐Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray et al. · BMC Medical Informatics and Decision Making · 2017 · 179 citations · Full text

, , +17

Predicting the Risk of Suicide by Analyzing the Text of Clinical Notes

Chris Poulin, Brian Shiner, Paul A. Thompson et al. · PLoS ONE · 2014 · 174 citations · Full text

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High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge

Jon Patrick, Min Li · Journal of the American Medical Informatics Association · 2010 · 166 citations · Full text

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1–5 of 241

Authors

1.1K

  1. NH
    Nigam H. Shah

    Stanford University, United States

    9 publications · 660 citations

    9

    h-index

  2. HL
    Hongfang Liu

    Mayo Clinic in Florida, United States

    7 publications · 369 citations

    7

    h-index

  3. SP
    Serguei Pakhomov

    University of Minnesota, United States

    7 publications · 172 citations

    7

    h-index

  4. MT
    Maxim Topaz

    Columbia University, United States

    6 publications · 302 citations

    6

    h-index

  5. JP
    Jon Patrick

    The University of Sydney, Australia

    6 publications · 325 citations

    6

    h-index

1–5 of 1.1K

Institutions

310

  1. Harvard University

    Cambridge, United States

    19 h-index

    90 publications

    4.7K citations

  2. Columbia University

    New York, United States

    14 h-index

    39 publications

    1.5K citations

  3. Brigham and Women's Hospital

    Boston, United States

    13 h-index

    63 publications

    3.7K citations

  4. Stanford University

    Stanford, United States

    12 h-index

    54 publications

    3.8K citations

  5. Mayo Clinic

    Rochester, United States

    10 h-index

    32 publications

    1.7K citations

  6. University of Minnesota

    Minneapolis, United States

    10 h-index

    27 publications

    641 citations

  7. University of Utah

    Salt Lake City, United States

    9 h-index

    31 publications

    1.5K citations

  8. Indiana University – Purdue University Indianapolis

    Indianapolis, United States

    8 h-index

    30 publications

    750 citations

1–8 of 310

Venues

  1. Journal of Biomedical Informatics

    22 publications · 1.1K citations

    18

    h-index

  2. PubMed

    Repository · 25 publications · 732 citations

    16

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 16 publications · 923 citations

    15

    h-index

  4. BMC Medical Informatics and Decision Making

    11 publications · 506 citations

    11

    h-index

  5. JMIR Medical Informatics

    JMI · 12 publications · 348 citations

    11

    h-index

1–5