MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data

被引:0
|
作者
Jiahao Han
Ning Xiao
Wanting Yang
Shichao Luo
Jun Zhao
Yan Qiang
Suman Chaudhary
Juanjuan Zhao
机构
[1] Taiyuan University of Technology,College of Information and Computer
关键词
Disease-specific survival prediction; Deep learning; Longitudinal CT images; Clinical data; Attention mechanism;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1049 / 1057
页数:8
相关论文
共 50 条
  • [31] Predicting Survival for Patients with Malignant Pleural Effusions Using Disease-Specific Models and Interaction Variables
    Molina Garcia, S.
    Martinez-Zayas, G.
    Sainz Zuniga, P. V.
    Leung, C. H.
    Li, L.
    Grosu, H. B.
    Ost, D. E.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199
  • [32] Design and development of a disease-specific clinical database system to increase the availability of hospital data in China
    Mimi Liu
    Jinni Luo
    Lin Li
    Xuemei Pan
    Shuyan Tan
    Weidong Ji
    Hongzheng Zhang
    Shengsheng Tang
    Jingjing Liu
    Bin Wu
    Zebin Chen
    Xiaoying Wu
    Yi Zhou
    [J]. Health Information Science and Systems, 11
  • [33] Design and development of a disease-specific clinical database system to increase the availability of hospital data in China
    Liu, Mimi
    Luo, Jinni
    Li, Lin
    Pan, Xuemei
    Tan, Shuyan
    Ji, Weidong
    Zhang, Hongzheng
    Tang, Shengsheng
    Liu, Jingjing
    Wu, Bin
    Chen, Zebin
    Wu, Xiaoying
    Zhou, Yi
    [J]. HEALTH INFORMATION SCIENCE AND SYSTEMS, 2023, 11 (01)
  • [34] Development and validation of a model for the prediction of disease-specific survival in patients with oral squamous cell carcinoma: based on random survival forest analysis
    Wang, Na
    Lin, Yulan
    Song, Haoyuan
    Huang, Weihai
    Huang, Jingyao
    Shen, Liling
    Chen, Fa
    Liu, Fengqiong
    Wang, Jing
    Qiu, Yu
    Shi, Bin
    Lin, Lisong
    He, Baochang
    [J]. EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, 2023, 280 (11) : 5049 - 5057
  • [35] Development and validation of a model for the prediction of disease-specific survival in patients with oral squamous cell carcinoma: based on random survival forest analysis
    Na Wang
    Yulan Lin
    Haoyuan Song
    Weihai Huang
    Jingyao Huang
    Liling Shen
    Fa Chen
    Fengqiong Liu
    Jing Wang
    Yu Qiu
    Bin Shi
    Lisong Lin
    Baochang He
    [J]. European Archives of Oto-Rhino-Laryngology, 2023, 280 : 5049 - 5057
  • [36] Disease-specific data processing: An intelligent digital platform for diabetes based on model prediction and data analysis utilizing big data technology
    Kong, Xiangyong
    Peng, Ruiyang
    Dai, Huajie
    Li, Yichi
    Lu, Yanzhuan
    Sun, Xiaohan
    Zheng, Bozhong
    Wang, Yuze
    Zhao, Zhiyun
    Liang, Shaolin
    Xu, Min
    [J]. FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [37] Predicting invasiveness and disease-specific survival in upper tract urothelial carcinoma: identifying relevant clinical tumour characteristics
    Malm, Camilla
    Grahn, Alexandra
    Jaremko, Georg
    Tribukait, Bernhard
    Brehmer, Marianne
    [J]. WORLD JOURNAL OF UROLOGY, 2019, 37 (11) : 2335 - 2342
  • [38] Predicting invasiveness and disease-specific survival in upper tract urothelial carcinoma: identifying relevant clinical tumour characteristics
    Camilla Malm
    Alexandra Grahn
    Georg Jaremko
    Bernhard Tribukait
    Marianne Brehmer
    [J]. World Journal of Urology, 2019, 37 : 2335 - 2342
  • [39] Survival Prediction from Longitudinal Health Insurance Data using Graph Pattern Mining
    Ren, Yongjian
    Zhang, Kun
    Shi, Yuliang
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2019, : 1104 - 1108
  • [40] Overcoming disease-specific matrix effect in a clinical pharmacokinetic assay using a microfluidic immunoassay technology
    Williams, Kathi
    Erickson, Rich
    Fischer, Saloumeh Kadkhodayan
    [J]. BIOANALYSIS, 2017, 9 (16) : 1207 - 1216