Machine learning-based prediction of breast cancer growth rate in vivo

被引：0
|
作者：
Shristi Bhattarai
Sergey Klimov
Mohammed A. Aleskandarany
Helen Burrell
Anthony Wormall
Andrew R. Green
Padmashree Rida
Ian O. Ellis
Remus M. Osan
Emad A. Rakha
Ritu Aneja
机构：
[1] Georgia State University,Department of Biology
[2] University of Nottingham and Nottingham University Hospitals NHS Trust,Nottingham Breast Cancer Research Centre, Division of Cancer and Stem Cells, School of Medicine
[3] City Hospital Campus,Nottingham Breast Institute
[4] Nottingham University Hospitals NHS Trust,Mathematics and Statistics
[5] Nottingham City hospital,undefined
[6] Georgia State University,undefined
来源：
British Journal of Cancer | 2019年 / 121卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：497 / 504
页数：7
相关论文
共 50 条
  • [41] An Assessment of the Predictive Performance of Current Machine Learning-Based Breast Cancer Risk Prediction Models: Systematic Review
    Gao, Ying
    Li, Shu
    Jin, Yujing
    Zhou, Lengxiao
    Sun, Shaomei
    Xu, Xiaoqian
    Li, Shuqian
    Yang, Hongxi
    Zhang, Qing
    Wang, Yaogang
    JMIR PUBLIC HEALTH AND SURVEILLANCE, 2022, 8 (12):
  • [42] Machine Learning-Based A Priori Chemotherapy Response Prediction in Breast Cancer Patients using Textural CT Biomarkers
    Moghadas-Dastjerdi, Hadi
    Sha-E-Tallat, Hira R.
    Sannachi, Lakshmanan
    Osapoeta, Laurentius O.
    Sadeghi-Naini, Ali
    Czarnota, Gregory J.
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 1250 - 1253
  • [43] Machine learning-based mortality rate prediction using optimized hyper-parameter
    Khan, Y. A.
    Abbas, S. Z.
    Buu-Chau Truong
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2020, 197
  • [44] Machine learning-based prediction of hydrogen-assisted fatigue crack growth rate in Cr-Mo steel
    Hu, Jiangchuan
    Ma, Kai
    Zhang, Zhenquan
    Zhang, Ruiming
    Zheng, Jinyang
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2025, 122 : 1 - 11
  • [45] Machine learning-based prediction of cancer immunotherapy response using circulating cytokines
    Wei, Feifei
    Azuma, Koichi
    Nakahara, Yoshiro
    Saito, Haruhiro
    Kouro, Taku
    Himuro, Hidetomo
    Horaguchi, Shun
    Tsuji, Kayoko
    Sasada, Tetsuro
    CANCER SCIENCE, 2023, 114 : 1013 - 1013
  • [46] Improving the Accuracy of Oncology Diagnosis: A Machine Learning-Based Approach to Cancer Prediction
    Cabanillas-Carbonell, Michael
    Zapata-Paulini, Joselyn
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2024, 20 (11) : 102 - 122
  • [47] Multimodal Machine Learning-Based Ductal Carcinoma in situ Prediction from Breast Fibromatosis
    Jiang, Yan
    Peng, Yuanyuan
    Wu, Yingyi
    Sun, Qing
    Hua, Tebo
    CANCER MANAGEMENT AND RESEARCH, 2024, 16 : 811 - 823
  • [48] Machine learning-based prediction of adverse outcomes from malnutrition in people with cancer
    Kiss, Nicole
    Steer, Belinda
    de van der Schueren, Marian
    Loeliger, Jenelle
    Alizadehsani, Roohallah
    Edbrooke, Lara
    Deftereos, Irene
    Laing, Erin
    Khosravi, Abbas
    ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2022, 18 : 92 - 93
  • [49] A Machine Learning-Based Model for Breast Volume Prediction Using Preoperative Anthropometric Measurements
    Akhoondinasab, Mohammadreza
    Shafaei, Yousef
    Rahmani, Amirhosein
    Keshavarz, Hamidreza
    AESTHETIC PLASTIC SURGERY, 2024, 48 (03) : 243 - 249
  • [50] A Machine Learning-Based Model for Breast Volume Prediction Using Preoperative Anthropometric Measurements
    Mohammadreza Akhoondinasab
    Yousef shafaei
    Amirhosein Rahmani
    Hamidreza Keshavarz
    Aesthetic Plastic Surgery, 2024, 48 : 243 - 249
12345