Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit

Evaluation of the Need for Intensive Care in Children With Pneumonia: Machine Learning Approach

(2022) Yun-Chung Liu et al.   JMIR Medical Informatics

Validation of the ACS-NSQIP Risk Calculator: A Machine-Learning Risk Tool for Predicting Complications and Mortality Following Adult Spinal Deformity Corrective Surgery

(2022) Katherine E. Pierce et al.   International Journal of Spine Surgery

Interpretable instance disease prediction based on causal feature selection and effect analysis

(2022) YuWen Chen et al.   BMC Medical Informatics and Decision Making

Modern Learning from Big Data in Critical Care: Primum Non Nocere

(2022) Benjamin Y. Gravesteijn et al.   Neurocritical Care

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

(2022) Jean Feng et al.   npj Digital Medicine

Small molecules as a source for acute kidney injury therapy

(2022) Ya-Long Feng et al.   PHARMACOLOGY & THERAPEUTICS

Identification of acute kidney injury subphenotypes

(2021) Zoltan H. Endre et al.   Current Opinion in Critical Care

Pathophysiology-based subphenotyping of individuals at elevated risk for type 2 diabetes

(2021) Robert Wagner et al.   NATURE MEDICINE

Assessment of acute kidney injury risk using a machine-learning guided generalized structural equation model: a cohort study

(2021) Wen En Joseph Wong et al.   BMC Nephrology

A Review on Human–AI Interaction in Machine Learning and Insights for Medical Applications

(2021) Mansoureh Maadi et al.   International Journal of Environmental Research and Public Health

Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury

(2021) Pattharawin Pattharanitima et al.   BLOOD PURIFICATION

A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients

(2021) Francesca Alfieri et al.   JOURNAL OF NEPHROLOGY

Opening the black box: the promise and limitations of explainable machine learning in cardiology

(2021) Jeremy Petch et al.   CANADIAN JOURNAL OF CARDIOLOGY

The Clinician and Dataset Shift in Artificial Intelligence

(2021) Samuel G. Finlayson et al.   NEW ENGLAND JOURNAL OF MEDICINE

Machine learning model to predict hypotension after starting continuous renal replacement therapy

(2021) Min Woo Kang et al.   Scientific Reports

Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis

(2021) Xiao-Qin Luo et al.   Scientific Reports

Urinary Metabolome Analyses of Patients with Acute Kidney Injury Using Capillary Electrophoresis-Mass Spectrometry

(2021) Rintaro Saito et al.   Metabolites

Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study

(2021) MinDong Sung et al.   JMIR Medical Informatics

Reinforcement Learning for Clinical Decision Support in Critical Care: A Comprehensive Review (Preprint)

(2020) Siqi Liu et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data

(2020) Diego A. Martinez et al.   ANNALS OF EMERGENCY MEDICINE

Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients

(2020) Erik Dovgan et al.   PLoS One

Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study

(2020) Lijuan Wu et al.   BMC Nephrology

Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model

(2020) Yuan Wang et al.   BMC Medical Informatics and Decision Making

Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury

(2020) Kumardeep Chaudhary et al.   Clinical Journal of the American Society of Nephrology

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning

(2020) Khaled Shawwa et al.   Clinical Kidney Journal

Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data

(2020) Pete Yeh et al.   BMC Medical Informatics and Decision Making

A prediction and interpretation framework of acute kidney injury in critical care

(2020) Kaidi Gong et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Early prediction of acute kidney injury following ICU admission using a multivariate panel of physiological measurements

(2019) Lindsay P. Zimmerman et al.   BMC Medical Informatics and Decision Making

Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model

(2019) Ke Lin et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock

(2019) Heather M. Giannini et al.   CRITICAL CARE MEDICINE

How to Read Articles That Use Machine Learning

(2019) Yun Liu et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial intelligence and algorithmic bias: implications for health systems

(2019) Trishan Panch et al.   Journal of Global Health

Big Data and Data Science in Critical Care

(2018) L. Nelson Sanchez-Pinto et al.   CHEST

Heart failure with preserved ejection fraction: controversies, challenges and future directions

(2018) Rosita Zakeri et al.   HEART

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

(2018) Tom J. Pollard et al.   Scientific Data

Advantages of Single-Nucleus over Single-Cell RNA Sequencing of Adult Kidney: Rare Cell Types and Novel Cell States Revealed in Fibrosis

(2018) Haojia Wu et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

Calibration drift in regression and machine learning models for acute kidney injury

(2017) Sharon E Davis et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

The role of glycine in regulated cell death

(2016) Joel M. Weinberg et al.   CELLULAR AND MOLECULAR LIFE SCIENCES

Adults are big children

(2016) Waël C. Hanna   JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Leveraging health information technology to achieve the “triple aim” of healthcare reform: Table 1:

(2015) Aziz Sheikh et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Timing of biomarker increases in acute kidney injury

(2012) Rebecca Ireland   Nature Reviews Nephrology