Machine learning algorithms' accuracy in predicting kidney disease progression: a systematic review and meta-analysis
N Lei, X Zhang, M Wei, B Lao, X Xu, M Zhang… - BMC Medical Informatics …, 2022 - Springer
Background Kidney disease progression rates vary among patients. Rapid and accurate
prediction of kidney disease outcomes is crucial for disease management. In recent years …
prediction of kidney disease outcomes is crucial for disease management. In recent years …
Machine learning approaches for electronic health records phenotyping: a methodical review
S Yang, P Varghese, E Stephenson… - Journal of the …, 2023 - academic.oup.com
Objective Accurate and rapid phenotyping is a prerequisite to leveraging electronic health
records for biomedical research. While early phenotyping relied on rule-based algorithms …
records for biomedical research. While early phenotyping relied on rule-based algorithms …
[HTML][HTML] Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy
Background Many important clinical decisions require causal knowledge (CK) to take action.
Although many causal knowledge bases for medicine have been constructed, a …
Although many causal knowledge bases for medicine have been constructed, a …
Prediction models used in the progression of chronic kidney disease: A scoping review
Objective To provide a review of prediction models that have been used to measure clinical
or pathological progression of chronic kidney disease (CKD). Design Scoping review. Data …
or pathological progression of chronic kidney disease (CKD). Design Scoping review. Data …
An intelligent intervention strategy for patients to prevent chronic complications based on reinforcement learning
Y You, Z Hua - Information Sciences, 2022 - Elsevier
Chronic complications refer to defects that initially have a limited impact on chronic patients'
normal lives, but that may accumulate into a major danger if they are not treated in a timely …
normal lives, but that may accumulate into a major danger if they are not treated in a timely …
Generalized mixed prediction chain model and its application in forecasting chronic complications
Y You, Z Hua, F Dong - Journal of the Operational Research …, 2023 - Taylor & Francis
The risk of severe complications poses a major threat to patients suffering from chronic
diseases, and risk prediction models can assist with identifying patients' risks of developing …
diseases, and risk prediction models can assist with identifying patients' risks of developing …
Analysis of Various Techniques and Methods for the Prediction of Diabetic Eye Disease in Type 2 Diabetes
P Sharma, AK Shukla - 2021 Third International Conference on …, 2021 - ieeexplore.ieee.org
The correct diagnosis of diabetic eye disease is necessary; because it is a treatable disease
and missing the diagnosis can lead to patient becoming blind. Diabetic eye disease can …
and missing the diagnosis can lead to patient becoming blind. Diabetic eye disease can …
[PDF][PDF] Representation of multimorbidity and frailty in the development and validation of kidney failure prognostic prediction models: a systematic review
H Walker, S Day, CH Grant, C Jones, R Ker… - 2024 - scholar.archive.org
Methods: We identified studies that described derivation, validation or update of kidney 22
failure prognostic models in MEDLINE, CINAHL Plus and the Cochrane Library–CENTRAL …
failure prognostic models in MEDLINE, CINAHL Plus and the Cochrane Library–CENTRAL …