Last Updated: 09/26/2026
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Found 19 publications
Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy.
Journal: Journal of clinical medicine
Published: October 26, 2022
Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.
Journal: medRxiv : the preprint server for health sciences
Published: June 15, 2022
Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.
Journal: International journal of medical informatics
Published: May 20, 2022
Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients.
Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients.
Journal: Frontiers in pediatrics
Published: February 28, 2022
Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study.
Journal: JMIR medical informatics
Published: January 06, 2022
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach.
Journal: Health policy and technology
Published: August 09, 2021
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification.
Journal: Healthcare technology letters
Published: March 10, 2021
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.
Journal: JMIR formative research
Published: February 17, 2021
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids.
Journal: Clinical therapeutics
Published: January 25, 2021
COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients.
Journal: PloS one
Published: December 10, 2020
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.
Journal: Journal of clinical medicine
Published: October 12, 2020
Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study.
Journal: Annals of medicine and surgery (2012)
Published: July 30, 2020
Last Updated: 09/26/2026