Concepedia

Deep Learning Risk Models

Deep Learning Risk Models is a computational risk stratification framework that leverages hierarchical neural network architectures to automatically extract complex, nonlinear patterns from high-dimensional data for the purpose of estimating individualized risk probabilities with enhanced predictive accuracy compared to traditional statistical and machine learning approaches.

376

Publications

23.2K

Citations

2.5K

Authors

949

Institutions

Publications per year

2017–2026

354

Parents

Publications

376

Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

Ryan Poplin, Avinash V. Varadarajan, Katy Blumer et al. · Nature Biomedical Engineering · 2018 · 1.8K citations · Full text

, , +14

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

Adam Yala, Constance D. Lehman, Tal Schuster et al. · Radiology · 2019 · 735 citations

, , +17

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Nicholas Carlini, Chang Liu, Úlfar Erlingsson et al. · arXiv (Cornell University) · 2018 · 506 citations · Full text

, , +15

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

Shangran Qiu, Prajakta Joshi, Matthew I. Miller et al. · Brain · 2020 · 475 citations · Full text

, , +17

Deep Learning for Drug-Induced Liver Injury

Youjun Xu, Ziwei Dai, Fangjin Chen et al. · Journal of Chemical Information and Modeling · 2015 · 387 citations · Full text

, , +12

1–5 of 376

Authors

2.5K

  1. YL
    Yu‐Chuan Li

    Taipei Medical University, Taiwan

    4 publications · 207 citations

    4

    h-index

  2. TH
    Tyler Hyungtaek Rim

    Yonsei University, South Korea

    3 publications · 191 citations

    3

    h-index

  3. RB
    Regina Barzilay

    Massachusetts Institute of Technology, United States

    3 publications · 1K citations

    3

    h-index

  4. SP
    Sungha Park

    Yonsei University, South Korea

    3 publications · 191 citations

    3

    h-index

  5. CD
    Constance D. Lehman

    University of Washington, United States

    3 publications · 825 citations

    3

    h-index

1–5 of 2.5K

Institutions

949

  1. Harvard University

    Cambridge, United States

    13 h-index

    66 publications

    8.1K citations

  2. Stanford University

    Stanford, United States

    11 h-index

    37 publications

    1.8K citations

  3. Massachusetts General Hospital

    Boston, United States

    11 h-index

    56 publications

    9.1K citations

  4. Tsinghua University

    Beijing, China

    10 h-index

    18 publications

    1.1K citations

  5. Brigham and Women's Hospital

    Boston, United States

    9 h-index

    29 publications

    2.6K citations

  6. University College London

    London, United Kingdom

    7 h-index

    16 publications

    1.2K citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    7 h-index

    15 publications

    671 citations

  8. Boston University

    Boston, United States

    7 h-index

    29 publications

    7.8K citations

1–8 of 949

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 877 citations

    11

    h-index

  2. Scientific Reports

    8 publications · 306 citations

    8

    h-index

  3. PLoS ONE

    8 publications · 273 citations

    8

    h-index

  4. Expert Systems with Applications

    8 publications · 374 citations

    8

    h-index

  5. IEEE Access

    8 publications · 315 citations

    7

    h-index

1–5