Jun Ji

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

Big data analytics to improve cardiovascular care: promise and challenges

Global epidemiology and outcomes of acute kidney injury

Epidemiology of Acute Kidney Injury in Critically Ill Children and Young Adults

Validation of the KDIGO acute kidney injury criteria in a pediatric critical care population

Acute kidney injury

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

Acute kidney injury

Epidemiology of acute kidney injury in children worldwide, including developing countries

AKI in Hospitalized Children

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

Acute Kidney Injury: Definition, Pathophysiology and Clinical Phenotypes.

Utilizing Electronic Health Records to Predict Acute Kidney Injury Risk and Outcomes: Workgroup Statements from the 15^th ADQI Consensus Conference

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

Neonatal Acute Kidney Injury

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

AKI in Hospitalized Children

Risk Prediction of Emergency Department Revisit 30 Days Post Discharge: A Prospective Study

Recursive weighted kernel regression for semi-supervised soft-sensing modeling of fed-batch processes