CARTOGRAPHY OF BIOSTATISTICS AND MACHINE LEARNING METHODS TO IDENTIFY PROGNOSTIC FACTORS

被引:0
|
作者
Mounier, L. [1 ]
Civet, A. [1 ]
Dupin, J. [1 ]
Pau, D. [1 ]
Esnault, C. [1 ]
机构
[1] Roche, Boulogne 92, France
关键词
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
MSR99
引用
收藏
页码:S369 / S369
页数:1
相关论文
共 50 条
  • [31] Using computer vision and machine learning to identify bus safety risk factors
    Loo, Becky P. Y.
    Fan, Zhuangyuan
    Lian, Ting
    Zhang, Feiyang
    ACCIDENT ANALYSIS AND PREVENTION, 2023, 185
  • [32] Novel Application of Machine Learning Algorithms and Model-Agnostic Methods to Identify Factors Influencing Childhood Blood Lead Levels
    Liu, Xiaochi
    Taylor, Mark P.
    Aelion, C. Marjorie
    Dong, Chenyin
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 55 (19) : 13387 - 13399
  • [33] Exploring Prognostic Gene Factors in Breast Cancer via Machine Learning
    Ma, Qinglan
    Chen, Lei
    Feng, Kaiyan
    Guo, Wei
    Huang, Tao
    Cai, Yu-Dong
    BIOCHEMICAL GENETICS, 2024, 62 (06) : 5022 - 5050
  • [34] Study of prognostic splicing factors in cancer using machine learning approaches
    Yang, Mengyuan
    Liu, Jiajia
    Kim, Pora
    Zhou, Xiaobo
    HUMAN MOLECULAR GENETICS, 2024, 33 (13) : 1131 - 1141
  • [35] Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia
    Coombes, Caitlin E.
    Abrams, Zachary B.
    Li, Suli
    Abruzzo, Lynne, V
    Coombes, Kevin R.
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2020, 27 (07) : 1019 - +
  • [36] Bond return predictability: Macro factors and machine learning methods
    Jiang, Ying
    Liu, Xiaoquan
    Liu, Yirong
    Zhu, Fumin
    EUROPEAN FINANCIAL MANAGEMENT, 2024, 30 (05) : 2596 - 2627
  • [37] Biostatistics Primer What a Clinician Ought to Know-Prognostic and Predictive Factors
    Simms, Lorinda
    Barraclough, Helen
    Govindan, Ramaswamy
    JOURNAL OF THORACIC ONCOLOGY, 2013, 8 (06) : 808 - 813
  • [38] Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma
    Li, Meng-Xiang
    Sun, Xiao-Meng
    Cheng, Wei-Gang
    Ruan, Hao-Jie
    Liu, Ke
    Chen, Pan
    Xu, Hai-Jun
    Gao, She-Gan
    Feng, Xiao-Shan
    Qi, Yi-Jun
    BMC CANCER, 2021, 21 (01)
  • [39] Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma
    Meng-Xiang Li
    Xiao-Meng Sun
    Wei-Gang Cheng
    Hao-Jie Ruan
    Ke Liu
    Pan Chen
    Hai-Jun Xu
    She-Gan Gao
    Xiao-Shan Feng
    Yi-Jun Qi
    BMC Cancer, 21
  • [40] Using of the Machine Learning Methods to Identify Bronchopulmonary System Diseases with the Use of Lung Sounds
    Chekhovych, M. G.
    Poreva, A. S.
    Timofeyev, V., I
    Henaff, P.
    VISNYK NTUU KPI SERIIA-RADIOTEKHNIKA RADIOAPARATOBUDUVANNIA, 2018, (73): : 55 - 62