Machine learning improves prediction of clinical outcomes for invasive breast cancers

被引：0
|
作者：
机构：
来源：
Nature Medicine | 2024年 / 30卷 / 1期
关键词：
D O I：
10.1038/s41591-023-02667-z
中图分类号：
学科分类号：
摘要：
[No abstract available]
引用
收藏
页码：41 / 42
页数：1
相关论文
共 50 条
  • [1] A Phenotyping of Diastolic Function by Machine Learning Improves Prediction of Clinical Outcomes in Heart Failure
    Kameshima, Haruka
    Uejima, Tokuhisa
    Fraser, Alan G.
    Takahashi, Lisa
    Cho, Junyi
    Suzuki, Shinya
    Kato, Yuko
    Yajima, Junji
    Yamashita, Takeshi
    [J]. FRONTIERS IN CARDIOVASCULAR MEDICINE, 2021, 8
  • [2] Machine Learning Improves Diagnosis of CNS Cancers
    Dolgin, Elie
    [J]. CANCER DISCOVERY, 2018, 8 (05) : 523 - 524
  • [3] Invasive ductal breast cancer molecular subtype prediction by MRI radiomic and clinical features based on machine learning
    Sheng, Weiyong
    Xia, Shouli
    Wang, Yaru
    Yan, Lizhao
    Ke, Songqing
    Mellisa, Evelyn
    Gong, Fen
    Zheng, Yun
    Tang, Tiansheng
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12
  • [4] Machine learning empowers phosphoproteome prediction in cancers
    Li, Hongyang
    Guan, Yuanfang
    [J]. BIOINFORMATICS, 2020, 36 (03) : 859 - 864
  • [5] Joint learning improves protein abundance prediction in cancers
    Li, Hongyang
    Siddiqui, Omer
    Zhang, Hongjiu
    Guan, Yuanfang
    [J]. BMC BIOLOGY, 2019, 17 (01)
  • [6] Joint learning improves protein abundance prediction in cancers
    Hongyang Li
    Omer Siddiqui
    Hongjiu Zhang
    Yuanfang Guan
    [J]. BMC Biology, 17
  • [7] Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke
    Lee, Joonwon
    Park, Kang Min
    Park, Seongho
    [J]. FRONTIERS IN NEUROLOGY, 2023, 14
  • [8] Raman spectroscopy and machine learning for the classification of breast cancers
    Zhang, Lihao
    Li, Chengjian
    Peng, Di
    Yi, Xiaofei
    He, Shuai
    Liu, Fengxiang
    Zheng, Xiangtai
    Huang, Wei E.
    Zhao, Liang
    Huang, Xia
    [J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2022, 264
  • [9] Emergency department triage prediction of clinical outcomes using machine learning models
    Raita, Yoshihiko
    Goto, Tadahiro
    Faridi, Mohammad Kamal
    Brown, David F. M.
    Camargo, Carlos A., Jr.
    Hasegawa, Kohei
    [J]. CRITICAL CARE, 2019, 23 (1)
  • [10] Emergency department triage prediction of clinical outcomes using machine learning models
    Yoshihiko Raita
    Tadahiro Goto
    Mohammad Kamal Faridi
    David F. M. Brown
    Carlos A. Camargo
    Kohei Hasegawa
    [J]. Critical Care, 23
12345