Machine learning-based model for survival prediction after immunotherapy in patients with solid tumor

被引:1
|
作者
Fala, Salma Y.
Osman, Mohamed
机构
关键词
D O I
10.1158/1538-7445.AM2023-4298
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
4298
引用
收藏
页数:2
相关论文
共 50 条
  • [41] Machine learning-based survival prediction nomogram for postoperative parotid mucoepidermoid carcinoma
    Huang, Zongwei
    Chen, Zihan
    Li, Ying
    Lin, Ting
    Cai, Sunqin
    Wu, Wenxi
    Wu, Lishui
    Xu, Siqi
    Lu, Jun
    Qiu, Sufang
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [42] Machine learning-based survival prediction nomogram for postoperative parotid mucoepidermoid carcinoma
    Zongwei Huang
    Zihan Chen
    Ying Li
    Ting Lin
    Sunqin Cai
    Wenxi Wu
    Lishui Wu
    Siqi Xu
    Jun Lu
    Sufang Qiu
    Scientific Reports, 14
  • [43] Machine learning-based prediction of survival prognosis in esophageal squamous cell carcinoma
    Zhang, Kaijiong
    Ye, Bo
    Wu, Lichun
    Ni, Sujiao
    Li, Yang
    Wang, Qifeng
    Zhang, Peng
    Wang, Dongsheng
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [44] EFFECT OF A MACHINE LEARNING-BASED SEVERE SEPSIS PREDICTION ALGORITHM ON PATIENT SURVIVAL
    Barton, Chris
    Shimabakuru, David
    Feldman, Mitchel
    Mataraso, Samson
    Das, Ritankar
    CRITICAL CARE MEDICINE, 2018, 46 (01) : 699 - 699
  • [45] Machine learning-based prognosis signature for survival prediction of patients with clear cell renal cell carcinoma
    Chen, Siteng
    Guo, Tuanjie
    Zhang, Encheng
    Wang, Tao
    Jiang, Guangliang
    Wu, Yishuo
    Wang, Xiang
    Na, Rong
    Zhang, Ning
    HELIYON, 2022, 8 (09)
  • [46] Development of a Machine Learning-Based Prediction Model for Chemotherapy-Induced Myelosuppression in Children with Wilms' Tumor
    Li, Mujie
    Wang, Quan
    Lu, Peng
    Zhang, Deying
    Hua, Yi
    Liu, Feng
    Liu, Xing
    Lin, Tao
    Wei, Guanghui
    He, Dawei
    CANCERS, 2023, 15 (04)
  • [47] Deep learning-based prediction of overall survival in glioma patients: The role of tumor-brainstem distance
    Gomaa, Ahmed
    Bert, Christoph
    Hagag, Amr
    Fietkau, Rainer
    Frey, Benjamin
    Gaipl, Udo
    Huang, Yixing
    Putz, Florian
    STRAHLENTHERAPIE UND ONKOLOGIE, 2023, 199 : S67 - S68
  • [48] Derivation and validation of a machine learning-based risk prediction model in patients with acute heart failure
    Misumi, Kayo
    Matsue, Yuya
    Nogi, Kazutaka
    Fujimoto, Yudai
    Kagiyama, Nobuyuki
    Kasai, Takatoshi
    Kitai, Takeshi
    Oishi, Shogo
    Akiyama, Eiichi
    Suzuki, Satoshi
    Yamamoto, Masayoshi
    Kida, Keisuke
    Okumura, Takahiro
    Nogi, Maki
    Ishihara, Satomi
    Ueda, Tomoya
    Kawakami, Rika
    Saito, Yoshihiko
    Minamino, Tohru
    JOURNAL OF CARDIOLOGY, 2023, 81 (06) : 531 - 536
  • [49] Construction of a machine learning-based interpretable prediction model for acute kidney injury in hospitalized patients
    Yu, Xiang
    Wang, Wanling
    Wu, Rilige
    Gong, Xinyan
    Ji, Yuwei
    Feng, Zhe
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [50] An enhanced machine learning-based prognostic prediction model for patients with AECOPD on invasive mechanical ventilation
    Fu, Yujie
    Liu, Yining
    Zhong, Chuyue
    Heidari, Ali Asghar
    Liu, Lei
    Yu, Sudan
    Chen, Huiling
    Wu, Peiliang
    ISCIENCE, 2024, 27 (12)