A NEW MACHINE LEARNING-BASED MODEL IS MORE ACCURATE THAN TRADITIONAL MODELS IN PREDICTING SURVIVAL OF PATIENTS WITH ESOPHAGEAL ADENOCARCINOMA

被引：0
|
作者：
Mohapatra, Sonmoon
Das, Amit
Ngamruengphong, Saowanee
机构：
来源：
GASTROENTEROLOGY | 2021年 / 160卷 / 06期
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：
Fr617
引用
收藏
页码：S378 / S378
页数：1
相关论文
共 50 条
  • [1] A NEW MACHINE LEARNING-BASED PREDICTIVE MODEL IS MORE ACCURATE THAN TRADITIONAL ANALYTIC MODELS IN PREDICTING 1-YEAR SURVIVAL OF PATIENTS WITH ESOPHAGEAL SQUAMOUS CELL CARCINOMA
    Das, Amit
    Mohapatra, Sonmoon
    Ngamruengphong, Saowanee
    [J]. GASTROENTEROLOGY, 2021, 160 (06) : S601 - S601
  • [2] MACHINE LEARNING-BASED PREDICTIVE MODELS ARE MORE ACCURATE THAN TNM STAGE IN PREDICTING SURVIVAL IN PATIENTS WITH GASTRIC CANCER
    Das, Amit
    Mohapatra, Sonmoon
    Ngamruengphong, Saowanee
    [J]. GASTROENTEROLOGY, 2020, 158 (06) : S782 - S783
  • [3] Machine Learning Based Predictive Models Are More Accurate Than TNM Staging in Predicting Survival in Patients With Pancreatic Cancer
    Das, Amit
    Ngamruengphong, Saowanee
    [J]. AMERICAN JOURNAL OF GASTROENTEROLOGY, 2019, 114 : S48 - S48
  • [4] Machine learning models for predicting survival in patients with ampullary adenocarcinoma
    Huang, Tao
    Huang, Liying
    Yang, Rui
    Li, Shuna
    He, Ningxia
    Feng, Aozi
    Li, Li
    Lyu, Jun
    [J]. ASIA-PACIFIC JOURNAL OF ONCOLOGY NURSING, 2022, 9 (12)
  • [5] Are Machine Learning Algorithms More Accurate in Predicting Vegetable and Fruit Consumption Than Traditional Statistical Models? An Exploratory Analysis
    Cote, Melina
    Osseni, Mazid Abiodoun
    Brassard, Didier
    Carbonneau, Elise
    Robitaille, Julie
    Vohl, Marie-Claude
    Lemieux, Simone
    Laviolette, Francois
    Lamarche, Benoit
    [J]. FRONTIERS IN NUTRITION, 2022, 9
  • [6] Do Machine Learning-Based Models Perform Better Than Clinical Models in Predicting Biochemical Outcome for Prostate Cancer Patients?
    Sun, L.
    Quon, H.
    Smith, W.
    Kirkby, C.
    [J]. MEDICAL PHYSICS, 2022, 49 (06) : E234 - E234
  • [7] Machine Learning Models are More Accurate Than Regression-based Models for Predicting Functional Impairment Risk in Acute Ischemic Stroke.
    Alaka, Shakiru A.
    Brobbey, Anita
    Menon, Bijoy K.
    Williamson, Tyler
    Goyal, Mayank
    Demchuk, Andrew M.
    Hill, Michael D.
    Sajobi, Tolulope
    [J]. STROKE, 2019, 50
  • [8] Enhancing machine learning-based survival prediction models for patients with cardiovascular diseases
    Rastogi, Tripti
    Girerd, Nicolas
    [J]. INTERNATIONAL JOURNAL OF CARDIOLOGY, 2024, 410
  • [9] On the interpretability of machine learning-based model for predicting hypertension
    Elshawi, Radwa
    Al-Mallah, Mouaz H.
    Sakr, Sherif
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 19 (1)
  • [10] On the interpretability of machine learning-based model for predicting hypertension
    Radwa Elshawi
    Mouaz H. Al-Mallah
    Sherif Sakr
    [J]. BMC Medical Informatics and Decision Making, 19
12345