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 …

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 …

[HTML][HTML] Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy

K Lyu, Y Tian, Y Shang, T Zhou, Z Yang, Q Liu… - Journal of Biomedical …, 2023 - Elsevier
Background Many important clinical decisions require causal knowledge (CK) to take action.
Although many causal knowledge bases for medicine have been constructed, a …

Prediction models used in the progression of chronic kidney disease: A scoping review

DKE Lim, JH Boyd, E Thomas, A Chakera, S Tippaya… - PLoS …, 2022 - journals.plos.org
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 …

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 …

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 …

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 …

[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 …