Conventional and machine-learning based risk score on survival for patients with hepatocellular carcinoma

被引:0
|
作者
Ho, Chun-Ting [1 ]
Su, Chien-Wei [2 ,3 ,4 ]
Tan, Elise Chia-Hui [5 ]
Huang, Yi-Hsiang [3 ,6 ]
Hou, Ming-Chih [3 ,6 ]
Wu, Jaw-Ching [7 ]
机构
[1] Taipei Vet Gen Hosp, Taipei, Taiwan
[2] Taipei Vet Gen Hosp, Dept Gen Med, Dept Med, Taipei, Taiwan
[3] Taipei Vet Gen Hosp, Div Gastroenterol & Hepatol, Dept Med, Taipei, Taiwan
[4] Natl Yang Ming Chiao Tung Univ, Sch Med, Coll Med, Taipei, Taiwan
[5] China Med Univ, Dept Hlth Serv Adm, Coll Publ Hlth, Taichung, Taiwan
[6] Natl Yang Ming Chiao Tung Univ, Sch Med, Coll Med, Taipei, Taiwan
[7] Natl Yang Ming Chiao Tung Univ, Inst Clin Med, Sch Med, Taipei, Taiwan
关键词
D O I
暂无
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
SAT-484
引用
收藏
页码:S398 / S398
页数:1
相关论文
共 50 条
  • [41] A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B
    Lee, Hye Won
    Kim, Hwiyoung
    Park, Taeyun
    Park, Soo Young
    Chon, Young Eun
    Seo, Yeon Seok
    Lee, Jae Seung
    Park, Jun Yong
    Kim, Do Young
    Ahn, Sang Hoon
    Kim, Beom Kyung
    Kim, Seung Up
    LIVER INTERNATIONAL, 2023, 43 (08) : 1813 - 1821
  • [42] A Novel Epigenetic Machine Learning Model to Define Risk of Progression for Hepatocellular Carcinoma Patients
    Bedon, Luca
    Dal Bo, Michele
    Mossenta, Monica
    Busato, Davide
    Toffoli, Giuseppe
    Polano, Maurizio
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (03) : 1 - 25
  • [43] Clustering Hepatocellular Carcinoma Patients Using Unsupervised Machine Learning and Its Effect on Survival: A Population-Based Study
    Mortagy, Mohamed
    Nadir, Umed
    Al-Dulaimy, Muhammad
    Abdelhameed, Aya
    Elmassry, Marawan
    Elgehiny, Amr
    Elsandouby, Ahmed
    AMERICAN JOURNAL OF GASTROENTEROLOGY, 2024, 119 (10S): : S1388 - S1389
  • [44] A Molecular Hepatocellular Carcinoma Prognostic Score System Precisely Predicts Overall Survival of Hepatocellular Carcinoma Patients
    Jia, Jie
    Tang, Jing
    JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY, 2022, 10 (02) : 273 - 283
  • [45] Molecular Diagnosis and Survival Predicition of Glioma Patients by Using Machine-Learning based Radiomics Methods
    Shi, Zhifeng
    Yu, Jinhua
    Qi, Zengxin
    Yang, Bojie
    Chen, Liang
    Mao, Ying
    Zhou, Liangfu
    CANCER SCIENCE, 2018, 109 : 289 - 289
  • [46] The NIACE score helps predict the survival of Asian hepatocellular carcinoma patients
    Su, Tung-Hung
    Liu, Chun-Jen
    Yang, Hung-Chih
    Liu, Chen-Hua
    Chen, Pei-Jer
    Chen, Ding-Shinn
    Adhoute, Xavier
    Bourliere, Marc
    Kao, Jia-Horng
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2015, 30 : 23 - 23
  • [47] Postoperative survival analysis of hepatocellular carcinoma patients with liver cirrhosis based on propensity score matching
    Wu, Zhaoqin
    Tang, Haodong
    Wang, Lishan
    Jin, Xiaoling
    Lei, Zhengqing
    Yang, Pinghua
    Zhou, Jiahua
    BMC SURGERY, 2022, 22 (01)
  • [48] Postoperative survival analysis of hepatocellular carcinoma patients with liver cirrhosis based on propensity score matching
    Zhaoqin Wu
    Haodong Tang
    Lishan Wang
    Xiaoling Jin
    Zhengqing Lei
    Pinghua Yang
    Jiahua Zhou
    BMC Surgery, 22
  • [49] A Machine-Learning Based Risk Score to Predict Response to Therapy in Crohn's Disease via Baseline MRE
    Cohn, H. M.
    Lu, Cheng
    Paspulati, Raj M.
    Katz, Jeffry
    Madabhushi, Anant
    Stein, Sharon L.
    Cominelli, Fabio
    Viswanath, Satish
    Dave, Maneesh
    GASTROENTEROLOGY, 2016, 150 (04) : S992 - S992
  • [50] Machine-Learning Gene Risk Score Identifies Best Responders to Semaglutide for Weight Loss
    Gutierrez, Rene de J. Rivera
    Tama, Elif
    Fansa, Sima
    Castaneda, Regina
    Espinosa, Maria A.
    Andrade, Maria Daniela Hurtado
    OBESITY, 2024, 32 : 103 - 103