[an error occurred while processing this directive]
综述

人工智能在慢性肾脏病应用现状及展望

  • 王李胜 ,
  • 刘清泉
展开
  • 华中科技大学同济医学院附属同济医院1血液净化中心2肾病内科

收稿日期: 2021-08-04

  修回日期: 2021-09-02

  网络出版日期: 2022-01-04

本文引用格式

王李胜 , 刘清泉 . 人工智能在慢性肾脏病应用现状及展望[J]. 中国血液净化, 2022 , 21(01) : 59 -62 . DOI: 10.3969/j.issn.1671-4091.2022.01.014

参考文献

参考文献
[1] COCKWELL P, FISHER L A. The global burden of chronic kidney disease [J]. Lancet (London, England), 2020, 395(10225): 662-4.
[2] JIA LIANG K. World Kidney Day 2020: Advances in Preventive Nephrology. %J Annals of the Academy of Medicine, Singapore [J]. 2020, 4(49):
[3] Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 [J]. Lancet (London, England), 2020, 395(10225): 709-33.
[4] MYSORE P, KHINKAR R M, MCLAUGHLIN D, et al. Improving hepatitis B vaccination rates for advanced chronic kidney disease patients: a quality improvement initiative [J]. Clinical and experimental nephrology, 2021, 25(5): 501-8.
[5] GHAZI L, OAKES J M, MACLEHOSE R F, et al. Neighborhood Socioeconomic Status and Identification of Patients With CKD Using Electronic Health Records [J]. American journal of kidney diseases : the official journal of the National Kidney Foundation, 2020,
[6] JOHNSON A E, POLLARD T J, SHEN L, et al. MIMIC-III, a freely accessible critical care database [J]. Scientific data, 2016, 3(160035.
[7] SENDIR M, K?Z?L H, TüRKO?LU ?, et al. Evaluation Of The Social Perception For The Use Of Artificial Intelligence Applications In The Field Of Health: A Qualitative Study [M]. 2019.
[8] DOYLE P W, KAVOUSSI N L. Machine learning applications to enhance patient specific care for urologic surgery [J]. World journal of urology, 2021,
[9] BODENHOFER U, HASLINGER-EISTERER B, MINICHMAYER A, et al. Machine learning-based risk profile classification of patients undergoing elective heart valve surgery [J]. European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 2021,
[10] HUNTER L B, BATEN A, HASKELL M J, et al. Machine learning prediction of sleep stages in dairy cows from heart rate and muscle activity measures [J]. Scientific reports, 2021, 11(1): 10938.
[11] SUNG S F, HUNG L C, HU Y H. Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning [J]. International journal of medical informatics, 2021, 152(104505.
[12] BEAUCHET O, NOUBLANCHE F, SIMON R, et al. Falls Risk Prediction for Older Inpatients in Acute Care Medical Wards: Is There an Interest to Combine an Early Nurse Assessment and the Artificial Neural Network Analysis? [J]. The journal of nutrition, health & aging, 2018, 22(1): 131-7.
[13] AKBILGIC O, OBI Y, POTUKUCHI P K, et al. Machine Learning to Identify Dialysis Patients at High Death Risk [J]. Kidney international reports, 2019, 4(9): 1219-29.
[14] TANGRI N, GRAMS M E, LEVEY A S, et al. Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis [J]. Jama, 2016, 315(2): 164-74.
[15] MAKINO M, YOSHIMOTO R, ONO M, et al. Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning [J]. Scientific reports, 2019, 9(1): 11862.
[16] XIE Y, BOWE B, MOKDAD A H, et al. Analysis of the Global Burden of Disease study highlights the global, regional, and national trends?of chronic kidney disease epidemiology from 1990 to 2016 [J]. Kidney international, 2018, 94(3): 567-81.
[17] CHUAN L I, GONG D J C J O N, DIALYSIS, TRANSPLANTATION. Cardiovascular changes and the diagnosis using ultrasonography in patients with hemodialysis [J].
[18] MEZZATESTA S, TORINO C, MEO P, et al. A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis [J]. Computer methods and programs in biomedicine, 2019, 177(9-15.
[19] BRIER M E, GAWEDA A E, ARONOFF G R J S I N. Personalized Anemia Management and Precision Medicine in ESA and Iron Pharmacology in End-Stage Kidney Disease [J]. 2018, 38(4): 410-7.
[20] SCHAPPACHER-TILP G, CHERIF A, FUERTINGER D H, et al. A mathematical model of parathyroid gland biology [J]. Physiological reports, 2019, 7(7): e14045.
[21] GINLEY B, LUTNICK B, JEN K Y, et al. Computational Segmentation and Classification of Diabetic Glomerulosclerosis [J]. Journal of the American Society of Nephrology : JASN, 2019, 30(10): 1953-67.
文章导航

/

[an error occurred while processing this directive]