Predicting diabetic nephropathy in type 2 diabetic patients using machine learning algorithms

被引:0
|
作者
Seyyed Mahdi Hosseini Sarkhosh
Alireza Esteghamati
Mahboobeh Hemmatabadi
Morteza Daraei
机构
[1] University of Garmsar,Department of Industrial Engineering
[2] Tehran University of Medical Sciences,Department of Internal Medicine, School of Medicine, Psychosomatic Medicine Research Center, Imam Khomeini Hospital
[3] Tehran University of Medical Sciences,Department of Internal Medicine, School of Medicine, Vali Asr Hospital
[4] Tehran University of Medical Sciences,Department of Internal Medicine, School of Medicine, Imam Khomeini Hospital
关键词
Type 2 diabetes; Diabetic nephropathy; Machine learning; Risk factors; Imam Khomeini Hospital Complex;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1433 / 1441
页数:8
相关论文
共 50 条
  • [1] Predicting diabetic nephropathy in type 2 diabetic patients using machine learning algorithms
    Sarkhosh, Seyyed Mahdi Hosseini
    Esteghamati, Alireza
    Hemmatabadi, Mahboobeh
    Daraei, Morteza
    [J]. JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2022, 21 (02) : 1433 - 1441
  • [2] Plasma cytokines for predicting diabetic retinopathy among type 2 diabetic patients via machine learning algorithms
    Cao, Bin
    Zhang, Ning
    Zhang, Yuanyuan
    Fu, Ying
    Zhao, Dong
    [J]. AGING-US, 2021, 13 (02): : 1972 - 1988
  • [3] Predicting the risk of diabetic retinopathy using explainable machine learning algorithms
    Islam, Md. Merajul
    Rahman, Md. Jahanur
    Rabby, Md. Symun
    Alam, Md. Jahangir
    Pollob, S. M. Ashikul Islam
    Ahmed, N. A. M. Faisal
    Tawabunnahar, Most.
    Roy, Dulal Chandra
    Shin, Junpil
    Maniruzzaman, Md.
    [J]. DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS, 2023, 17 (12)
  • [4] Retinal Microcirculation in Predicting Diabetic Nephropathy in Type 2 Diabetic Patients without Retinopathy
    Cankurtaran, Veysel
    Inanc, Merve
    Tekin, Kemal
    Turgut, Faruk
    [J]. OPHTHALMOLOGICA, 2020, 243 (04) : 271 - 279
  • [5] Blood Glucose Prediction for Type 2 Diabetic Patients Using Machine Learning
    Kim, Daeyeon
    Lee, Han-Beom
    Kim, Yeojoo
    Kim, Sang Jin
    Lee, Sang-Jeong
    Chun, Sung Wan
    [J]. DIABETES, 2019, 68
  • [6] Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms
    Tsao, Hsin-Yi
    Chan, Pei-Ying
    Su, Emily Chia-Yu
    [J]. BMC BIOINFORMATICS, 2018, 19
  • [7] Predicting diabetic retinopathy and identifying interpretable biomedical features using machine learning algorithms
    Hsin-Yi Tsao
    Pei-Ying Chan
    Emily Chia-Yu Su
    [J]. BMC Bioinformatics, 19
  • [8] Predicting diabetic nephropathy by serum proteomic profiling in patients with type 2 diabetes
    Yang, Yehong
    Zhang, Shuo
    Lu, Bin
    Gong, Wei
    Dong, Xuehong
    Song, Xiaoyan
    Zhao, Weiwei
    Cui, Jiefeng
    Liu, Yinkun
    Hu, Renming
    [J]. WIENER KLINISCHE WOCHENSCHRIFT, 2015, 127 (17-18) : 669 - 674
  • [9] Diabetic Nephropathy Prediction with Machine-Learning Models for Patients with Type 1 Diabetes
    Sripada, Srishti
    Sripada, Shreya
    Belapurkar, Sonali
    [J]. DIABETES, 2023, 72
  • [10] Progression of nephropathy in type 2 diabetic patients
    Rossing, K
    Christensen, PK
    Hovind, P
    Tarnow, L
    Rossing, P
    Parving, HH
    [J]. KIDNEY INTERNATIONAL, 2004, 66 (04) : 1596 - 1605