Concepedia

Feature Engineering For Phenotypes

Feature Engineering for Phenotypes is a computational methodology within the domain of biomedical informatics that involves the systematic derivation and selection of informative variables from raw clinical data to optimally represent patient characteristics for the accurate identification and classification of clinical phenotypes.

52

Publications

3.9K

Citations

363

Authors

158

Institutions

Publications per year

2017–2026

35

Variants

Phenotype Feature Engineering

Parents

Children

Publications

52

Identifying facial phenotypes of genetic disorders using deep learning

Yaron Gurovich, Yair Hanani, Omri Bar et al. · Nature Medicine · 2018 · 732 citations

, , +16

Risk Prediction with Electronic Health Records: A Deep Learning Approach

Yu Cheng, Fei Wang, Ping Zhang et al. · 2016 · 400 citations

, , +17

A machine learning-based framework to identify type 2 diabetes through electronic health records

Tao Zheng, Wei Xie, Liling Xu et al. · International Journal of Medical Informatics · 2016 · 359 citations · Full text

, , +16

Rice diseases classification using feature selection and rule generation techniques

Santanu Phadikar, Jaya Sil, Asit Kumar Das · Computers and Electronics in Agriculture · 2012 · 228 citations

, , +13

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

1–5 of 52

Authors

363

  1. JC
    Joshua C. Denny

    Vanderbilt University, United States

    3 publications · 247 citations

    3

    h-index

  2. WX
    Wei Xie

    Vanderbilt University, United States

    2 publications · 405 citations

    2

    h-index

  3. CW
    Chunhua Weng

    Columbia University, United States

    2 publications · 86 citations

    2

    h-index

  4. TZ
    Tao Zheng

    Shanghai Jiao Tong University, China

    2 publications · 405 citations

    2

    h-index

  5. JP
    Jyotishman Pathak

    Cornell University, United States

    2 publications · 87 citations

    2

    h-index

1–5 of 363

Institutions

158

  1. Vanderbilt University

    Nashville, United States

    5 h-index

    13 publications

    2K citations

  2. Sun Yat-sen University

    Guangzhou, China

    3 h-index

    3 publications

    555 citations

  3. The First Affiliated Hospital, Sun Yat-sen University

    Guangzhou, China

    3 h-index

    3 publications

    555 citations

  4. Northwestern University

    Evanston, United States

    3 h-index

    10 publications

    425 citations

  5. University of Oxford

    Oxford, United Kingdom

    2 h-index

    2 publications

    176 citations

  6. Tongren Hospital

    Shanghai, China

    2 h-index

    4 publications

    810 citations

  7. Georgia Institute of Technology

    Atlanta, United States

    2 h-index

    2 publications

    195 citations

  8. Yale University

    New Haven, United States

    2 h-index

    2 publications

    44 citations

1–8 of 158

Venues

  1. Journal of Biomedical Informatics

    4 publications · 294 citations

    4

    h-index

  2. Scientific Reports

    3 publications · 74 citations

    3

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 180 citations

    3

    h-index

  4. Briefings in Bioinformatics

    2 publications · 73 citations

    2

    h-index

  5. 2

    h-index

1–5