January 11, 2022 |
Predicting pulmonary embolism among hospitalized patients with machine learning algorithms
Continue Reading »October 24, 2021 |
Early prediction of severe acute pancreatitis using machine learning
Continue Reading »September 14, 2021 |
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study
Continue Reading »September 14, 2021 |
Early prediction of central line associated bloodstream infection (CLABSI) using machine learning
Continue Reading »September 1, 2021 |
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification
Continue Reading »August 20, 2021 |
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays
Continue Reading »August 16, 2021 |
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach
Continue Reading »June 23, 2021 |
A machine learning approach to predicting risk of myelodysplastic syndrome
Continue Reading »June 17, 2021 |
A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients
Continue Reading »June 4, 2021 |
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study
Continue Reading »March 31, 2021 |
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data
Continue Reading »March 29, 2021 |
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids
Continue Reading »March 17, 2021 |
COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients
Continue Reading »February 25, 2021 |
Convolutional Neural Network Model for ICU Acute Kidney Injury Prediction
Continue Reading »February 24, 2021 |
A Machine Learning Approach to Predict Deep Venous Thrombosis Among Hospitalized Patients
Continue Reading »November 6, 2020 |
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit From Hydroxychloroquine Treatment? - The IDENTIFY Trial
Continue Reading »October 27, 2020 |
Validation of a Machine Learning Algorithm for Early Severe Sepsis Prediction: a Retrospective Study Predicting Severe Sepsis up to 48 H in Advance Using a Diverse Dataset from 461 US Hospitals
Continue Reading »October 22, 2020 |
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: An Algorithm Development Study
Continue Reading »October 3, 2020 |
Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study
Continue Reading »August 6, 2020 |
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY Trial
Continue Reading »July 24, 2020 |
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)
Continue Reading »April 30, 2020 |
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data from US hospitals
Continue Reading »December 30, 2019 |
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction
Continue Reading »April 24, 2019 |
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs
Continue Reading »February 13, 2019 |
Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients
Continue Reading »June 8, 2018 |
Prediction of acute kidney injury with a machine learning algorithm using electronic health record data
Continue Reading »January 26, 2018 |
Multicenter validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
Continue Reading »November 9, 2017 |
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial
Continue Reading »October 25, 2017 |
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit, and hospital floor units
Continue Reading »September 15, 2017 |
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
Continue Reading »June 12, 2017 |
Using transfer learning for improved mortality prediction in a data-scarce hospital setting
Continue Reading »April 3, 2017 |
Cost and mortality impact of an algorithm-driven sepsis prediction system
Continue Reading »September 30, 2016 |
Prediction of sepsis in the intensive care unit with minimal electronic health record data: A machine learning approach
Continue Reading »September 6, 2016 |
Using electronic health record collected clinical variables to predict medical intensive care unit mortality
Continue Reading »May 24, 2016 |
A computational approach to mortality prediction of alcohol use disorder inpatients
Continue Reading »May 10, 2016 |
High-performance detection and early prediction of septic shock for alcohol-use disorder patients
Continue Reading »March 28, 2016 |
Discharge recommendation based on a novel technique of homeostatic analysis
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