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Role of Artificial Intelligence in Kidney [Disease] https://www.mendeley…
Role of Artificial Intelligence in Kidney [Disease]
https://www.mendeley.com/reference-manager/reader/7674cee4-736d-35d7-8883-0b712eb7b112/03446981-1f57-5583-4052-edde759ab7f5
caused by Diabetes, Hypertesion, Obesity, Aging
stage 3 Chronic Kidney Disease (CKD)
CKD4
CKD5
Hemodialyis
Electronic Medical Records (EMR)
AI technology in clinic
Alerting systems
Acute Kidney Injuiry (AKI)
elderly and perioperative patients
progress to end-stage renal disease (ESRD)
present diagnosis is based on
serum creatinine
urine output
Linear Models (correlation between the covariates and the risk of morbidity)
Machine learning (predictive), better than statistical analysis
AKI algorithm (2014 National Health Service/NHS England)
Google (2015,Streams program to predict and send warnings to doctors )
Tomase, predict
703,782 adult patients
55,8% inpatient AKI
90,2% AKI
Lee
2010 patients
random forest
extreme gradient boosting
decision tree
support vector machine
neural network classifier
deep learning
Yin
8800 patients
Diagnostic assistance
Guiding treatment
Evaluating prognosis
non-systematic review
PubMed up to August 2019
8 terms: "artificial intelligence", "machine learning", "artificial neuron networks", "deep learning", "kidney Disease" "chronic kidney disease", "acute kidney Injury", "nephrology"
English articles/ English abstracts
Human dataset
bibliographies of identified articles and author files
Neural Network and Support Vector Machine for the prediction of Chronic Kidney Disease (CKD): A Comparative
https://www.mendeley.com/reference-manager/reader/96b60ddf-7502-37bd-8d2c-90ffc40d5985/0babff3d-a08a-2ae3-0909-708c11121641
Artificial Neural Network (ANN) techniques
Support Vector Machine (SVM)