Machine Learning Reimagined: The Promise of Interpretability to Combat Bias

被引:2
|
作者
Maurer, Lydia R. [1 ]
Bertsimas, Dimitris [2 ,3 ]
Kaafarani, Haytham M. A. [4 ]
机构
[1] Massachusetts Gen Hosp, Dept Surg, Boston, MA 02114 USA
[2] MIT, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Interpretable AI, Boston, MA USA
[4] Massachusetts Gen Hosp, Div Trauma Emergency Surg & Surg Crit Care, Boston, MA 02114 USA
关键词
HEALTH;
D O I
10.1097/SLA.0000000000005396
中图分类号
R61 [外科手术学];
学科分类号
摘要
[No abstract available]
引用
收藏
页码:E738 / E739
页数:2
相关论文
共 50 条
  • [41] Approach to provide interpretability in machine learning models for image classification
    Anja Stadlhofer
    Vitaliy Mezhuyev
    Industrial Artificial Intelligence, 1 (1):
  • [42] Machine Learning Model Interpretability in NLP and Computer Vision Applications
    Chakrabarty, Navoneel
    ADVANCES IN COMPUTING AND DATA SCIENCES, PT I, 2021, 1440 : 255 - 267
  • [43] Determinants of the price of bitcoin: An analysis with machine learning and interpretability techniques*,**
    Carbo, Jose Manuel
    Gorjon, Sergio
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2024, 92 : 123 - 140
  • [44] Trusting Magic Interpretability of Predictions From Machine Learning Algorithms
    Rosenberg, Michael A.
    CIRCULATION, 2021, 143 (13) : 1299 - 1301
  • [45] Comparison-Based Inverse Classification for Interpretability in Machine Learning
    Laugel, Thibault
    Lesot, Marie-Jeanne
    Marsala, Christophe
    Renard, Xavier
    Detyniecki, Marcin
    INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: THEORY AND FOUNDATIONS, IPMU 2018, PT I, 2018, 853 : 100 - 111
  • [46] Applying Genetic Programming to Improve Interpretability in Machine Learning Models
    Ferreira, Leonardo Augusto
    Guimaraes, Frederico Gadelha
    Silva, Rodrigo
    2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2020,
  • [47] Adding interpretability to predictive maintenance by machine learning on sensor data
    Steurtewagen, Bram
    Van den Poel, Dirk
    COMPUTERS & CHEMICAL ENGINEERING, 2021, 152
  • [48] Analysis and interpretability of machine learning models to classify thyroid disease
    Akter, Sumya
    Mustafa, Hossen A.
    PLOS ONE, 2024, 19 (05):
  • [49] Machine learning could combat epidemic spread
    Harris, Margaret
    PHYSICS WORLD, 2021, 34 (06) : 8 - 8
  • [50] Combat vehicle classification using Machine Learning
    Zeng, H
    Huang, J
    Liang, Y
    ADVANCES IN COMPUTER-ASSISTED RECOGNITION, 1999, 3584 : 2 - 7