Application of a novel machine learning model in predicting survival in adrenocortical cancer (ACC)

被引：0
|
作者：
Varghese, D. G. [1 ]
Saleh-Anaraki, K. [1 ]
Lokre, O. [2 ]
Sedlack, A. [3 ]
Kikani, B. [4 ]
Munian-Govindan, R. [2 ]
Perk, T. [2 ]
Del Rivero, J. [1 ]
机构：
[1] Natl Canc Inst, NIH Natl Inst Hlth, Bethesda, MD USA
[2] AIQ Solut, Res & Dev, Madison, WI USA
[3] NIH Natl Inst Hlth, Natl Inst Biomed Imaging & Bioengn, Bethesda, MD USA
[4] NIH Natl Inst Hlth, Natl Human Genome Res Inst, Bethesda, MD USA
来源：
ANNALS OF ONCOLOGY | 2022年 / 33卷 / 07期
关键词：
D O I：
10.1016/j.annonc.2022.07.026
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
5P
引用
收藏
页码：S546 / S547
页数：2
相关论文
共 50 条
  • [41] A novel implicit hybrid machine learning model and its application for reinforcement learning
    Machalek, Derek
    Quah, Titus
    Powell, Kody M.
    COMPUTERS & CHEMICAL ENGINEERING, 2021, 155
  • [42] Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
    Luckett, Patrick H.
    Olufawo, Michael
    Lamichhane, Bidhan
    Park, Ki Yun
    Dierker, Donna
    Verastegui, Gabriel Trevino
    Yang, Peter
    Kim, Albert H.
    Chheda, Milan G.
    Snyder, Abraham Z.
    Shimony, Joshua S.
    Leuthardt, Eric C.
    JOURNAL OF NEURO-ONCOLOGY, 2023, 164 (02) : 309 - 320
  • [43] Predicting kidney allograft survival with explainable machine learning
    Fabreti-Oliveira, Raquel A.
    Nascimento, Evaldo
    de Melo Santosa, Luiz Henrique
    de Oliveira Santos, Marina Ribeiro
    Veloso, Adriano Alonso
    TRANSPLANT IMMUNOLOGY, 2024, 85
  • [44] Predicting survival in glioblastoma with multimodal neuroimaging and machine learning
    Patrick H. Luckett
    Michael Olufawo
    Bidhan Lamichhane
    Ki Yun Park
    Donna Dierker
    Gabriel Trevino Verastegui
    Peter Yang
    Albert H. Kim
    Milan G. Chheda
    Abraham Z. Snyder
    Joshua S. Shimony
    Eric C. Leuthardt
    Journal of Neuro-Oncology, 2023, 164 (2) : 309 - 320
  • [45] A Novel Machine Learning-Based Systolic Blood Pressure Predicting Model
    Zheng, Jiao
    Yu, Zhengyu
    JOURNAL OF NANOMATERIALS, 2021, 2021
  • [46] Interpretable machine learning model for prediction of overall survival in laryngeal cancer
    Alabi, Rasheed Omobolaji
    Almangush, Alhadi
    Elmusrati, Mohammed
    Leivo, Ilmo
    Makitie, Antti A.
    ACTA OTO-LARYNGOLOGICA, 2025, 145 (03) : 256 - 262
  • [47] Prediction Model of Breast Cancer Survival Months: A Machine Learning Approach
    Naser, Mohammad Y. M.
    Chambers, Destini
    Bhattacharya, Sylvia
    SOUTHEASTCON 2023, 2023, : 851 - 855
  • [48] A novel machine learning prediction model for metastasis in breast cancer
    Li, Huan
    Liu, Ren-Bin
    Long, Chen-meng
    Teng, Yuan
    Liu, Yu
    CANCER REPORTS, 2024, 7 (03)
  • [49] Prediction of Breast Cancer Survival by Machine Learning Methods: An Application of Multiple Imputation
    Lotfnezhad Afshar, Hadi
    Jabbari, Nasrollah
    Khalkhali, Hamid Reza
    Esnaashari, Omid
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2021, 50 (03) : 598 - 605
  • [50] Application of machine learning in breast cancer survival prediction using a multimethod approach
    Hamedi, Seyedeh Zahra
    Emami, Hassan
    Khayamzadeh, Maryam
    Rabiei, Reza
    Aria, Mehrad
    Akrami, Majid
    Zangouri, Vahid
    SCIENTIFIC REPORTS, 2024, 14 (01):
12345