/MIMIC-topic

This is a paper collection on medical tasks constructed using MIMIC dataset.

MIMIC topic

Content
  • Acute Kidney Injury (AKI)
  • Systolic Blood Pressure (SBP)
  • Sepsis
  • Cardiac Episodes

Acute Kidney Injury (AKI)

Title Type Link
Hypotension as a Risk Factor for Acute Kidney Injury in ICU Patients. Journal ComCar2010
Outcome of Critically ill Patients with Acute Kidney Injury using the AKIN Criteria. Journal CCM2011
Obesity, Acute Kidney Injury, and Mortality in Critical Illness. Journal CCM2017
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes. Journal BIBM2018
Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model. Journal IJMI2019
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury. Journal CJASN2020
Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database. Journal Hindawi2020
Nomogram to predict the risk of septic acute kidney injury in the first 24 h of admission. Journal RenFail2020
Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model. Journal MIDM2020
Effects of ondansetron use on outcomes of acute kidney injury in critically ill patients: An analysis based on the MIMIC-IV database. Journal JoCC2021
Nomogram to predict the risk of acute kidney injury in patients with diabetic ketoacidosis. Journal BMCED2021
Application of Machine Learning to Predict Acute Kidney Disease in Patients With Sepsis Associated Acute Kidney Injury. Journal FMed2021
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning. Journal CKJ2021
A novel hybrid deep learning architecture for predicting acute kidney injury using patient record data and ultrasound kidney images. Journal AppAI2021
Development and validation of a risk stratification model for predicting the mortality of acute kidney injury in critical care patients. Journal ATM2021
Interpretable and continuous prediction of acute kidney injury in the intensive care. Journal PHI2021
A Prediction model for assessing prognosis in critically ill patients with sepsis-associated acute kidney injury. Journal Shork2021
Association between predialysis creatinine and mortality in acute kidney injury patients requiring dialysis. Journal PlosOne2022
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation. Journal AJMS2022
Developing an ensemble machine learning model for early prediction of sepsis-associated acute kidney injury. Journal iScience2022

Systolic Blood Pressure (SBP)

Title Type Link
Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing. Journal CCQO2019
Estimation and Tracking of Blood Pressure Using Routinely Acquired Photoplethysmographic Signals and Deep Neural Networks. Journal CCE2020

Sepsis

Title Type Link
Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database. Journal ICM2018
Predicting sepsis with a recurrent neural network using the MIMIC III database. Journal CBM2019
Clinical applications of artificial intelligence in sepsis: A narrative review. Journal CBM2019
An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU. Journal CCM2019