Lessons learned in predicting gastric cancer survival using machine learning

被引:0
|
作者
De Benedetti, Marc [1 ]
Le, Phuong [1 ]
Le, Hoa V. [2 ]
Truong, Chi T. L. [3 ]
机构
[1] Univ Toronto, Toronto, ON, Canada
[2] Univ N Carolina, MedCodeWorld, Chapel Hill, NC USA
[3] MedCodeWorld, Chapel Hill, NC USA
关键词
D O I
暂无
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
引用
收藏
页码:261 / 262
页数:2
相关论文
共 50 条
  • [1] Predicting survival of pancreatic cancer using supervised machine learning
    Osman, M. H.
    ANNALS OF ONCOLOGY, 2018, 29
  • [2] Machine learning in predicting gastric cancer survival Presenting a novel decision support system model
    Altinsoy, Ezgi
    Bakirarar, Batuhan
    Culcu, Serdar
    ANNALI ITALIANI DI CHIRURGIA, 2023, 94 (06) : 631 - 638
  • [3] Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning
    Zhong, Xugang
    Lin, Yanze
    Zhang, Wei
    Bi, Qing
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [4] Predicting overall survival in anaplastic thyroid cancer using machine learning approaches
    Barfejani, Arnavaz Hajizadeh
    Rostami, Mohammadreza
    Rahimi, Mohammad
    Far, Hossein Sabori
    Gholizadeh, Shahab
    Behjat, Morteza
    Tarokhian, Aidin
    EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, 2025, 282 (03) : 1653 - 1657
  • [5] Predicting factors for survival of breast cancer patients using machine learning techniques
    Mogana Darshini Ganggayah
    Nur Aishah Taib
    Yip Cheng Har
    Pietro Lio
    Sarinder Kaur Dhillon
    BMC Medical Informatics and Decision Making, 19
  • [6] Predicting factors for survival of breast cancer patients using machine learning techniques
    Ganggayah, Mogana Darshini
    Taib, Nur Aishah
    Har, Yip Cheng
    Lio, Pietro
    Dhillon, Sarinder Kaur
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (1)
  • [7] Predicting diagnosis and survival of bone metastasis in breast cancer using machine learning
    Xugang Zhong
    Yanze Lin
    Wei Zhang
    Qing Bi
    Scientific Reports, 13
  • [8] Lessons Learned on Machine Learning for Computer Security
    Arp, Daniel
    Quiring, Erwin
    Pendlebury, Feargus
    Warnecke, Alexander
    Pierazzi, Fabio
    Wressnegger, Christian
    Cavallaro, Lorenzo
    Rieck, Konrad
    IEEE SECURITY & PRIVACY, 2023, 21 (05) : 72 - 77
  • [9] An adaptive machine learning pipeline for predicting the recurrence of gastric cancer
    Gao, Yifan
    Wang, Haoran
    Guo, Minhan
    Li, Yajin
    2020 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, COMPUTER TECHNOLOGY AND TRANSPORTATION (ISCTT 2020), 2020, : 408 - 411
  • [10] Predicting lung cancer survival based on clinical data using machine learning: A review
    Altuhaifa, Fatimah Abdulazim
    Win, Khin Than
    Su, Guoxin
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 165