Concepedia

Machine Learning-based Phenotyping

Machine Learning-Based Phenotyping is a computational approach within natural language processing that employs machine learning algorithms to automatically identify and classify phenotypic characteristics from unstructured textual data, distinguished by its reliance on data-driven models to extract clinical or biological traits without explicit rule-based programming.

93

Publications

3.9K

Citations

722

Authors

323

Institutions

Publications per year

2017–2026

83

Parents

Publications

93

Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning Models

Juan M. Banda, Martin Seneviratne, Tina Hernandez‐Boussard et al. · Annual Review of Biomedical Data Science · 2018 · 240 citations · Full text

, , +15

Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives

Sebastian Gehrmann, Franck Dernoncourt, Yeran Li et al. · PLoS ONE · 2018 · 221 citations · Full text

, , +17

A machine learning approach to predicting psychosis using semantic density and latent content analysis

Neguine Rezaii, Elaine F. Walker, Phillip Wolff · Schizophrenia · 2019 · 204 citations · Full text

, , +16

Learning statistical models of phenotypes using noisy labeled training data

Vibhu Agarwal, Tanya Podchiyska, Juan M. Banda et al. · Journal of the American Medical Informatics Association · 2016 · 165 citations · Full text

, , +15

An evaluation of machine-learning for predicting phenotype: studies in yeast, rice, and wheat

Nastasiya F. Grinberg, Oghenejokpeme I. Orhobor, Ross D. King · Machine Learning · 2019 · 165 citations · Full text

, , +13

1–5 of 93

Authors

722

  1. DD
    Dmitriy Dligach

    Loyola University Chicago, United States

    4 publications · 247 citations

    4

    h-index

  2. JC
    Joshua C. Denny

    Vanderbilt University, United States

    3 publications · 209 citations

    3

    h-index

  3. NG
    Nicolas Garcelon

    Inserm, France

    2 publications · 32 citations

    3

    h-index

  4. HL
    Hongfang Liu

    Mayo Clinic in Florida, United States

    3 publications · 80 citations

    3

    h-index

  5. JM
    Juan M. Banda

    Georgia State University, United States

    3 publications · 430 citations

    3

    h-index

1–5 of 722

Institutions

323

  1. Harvard University

    Cambridge, United States

    10 h-index

    30 publications

    1.7K citations

  2. Stanford University

    Stanford, United States

    7 h-index

    23 publications

    1.7K citations

  3. Assistance Publique – Hôpitaux de Paris

    Paris, France

    6 h-index

    31 publications

    2K citations

  4. Columbia University

    New York, United States

    6 h-index

    20 publications

    508 citations

  5. Inserm

    Paris, France

    6 h-index

    40 publications

    1.7K citations

  6. Mayo Clinic

    Rochester, United States

    5 h-index

    8 publications

    269 citations

  7. Université Paris Cité

    Paris, France

    5 h-index

    22 publications

    745 citations

  8. Boston Children's Hospital

    Boston, United States

    4 h-index

    12 publications

    645 citations

1–8 of 323

Venues

  1. Journal of the American Medical Informatics Association

    JAMIA · 8 publications · 506 citations

    8

    h-index

  2. Scientific Reports

    5 publications · 212 citations

    5

    h-index

  3. Journal of Biomedical Informatics

    4 publications · 143 citations

    4

    h-index

  4. PubMed

    Repository · 4 publications · 88 citations

    4

    h-index

  5. PLoS ONE

    4 publications · 339 citations

    4

    h-index

1–5