Suliang Chen
215 Euston Road, NW1 2BE
London, ENG, United Kingdom
London, ENG, United Kingdom
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 10 publications
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study.
Journal: The Lancet. Digital health
Published: July 07, 2022
Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic.
Journal: European journal of preventive cardiology
Published: November 10, 2020
Machine learning for subtype definition and risk prediction in heart failure, acute coronary syndromes and atrial fibrillation: systematic review of validity and clinical utility.
Journal: BMC medicine
Published: October 01, 2020
Machine learning: a long way from implementation in cardiovascular disease.
Journal: Heart (British Cardiac Society)
Published: January 09, 2020
Predictors of Intraspinal Pressure and Optimal Cord Perfusion Pressure After Traumatic Spinal Cord Injury.
Journal: Neurocritical care
Published: October 18, 2018
Non-linear Dynamical Analysis of Intraspinal Pressure Signal Predicts Outcome After Spinal Cord Injury.
Journal: Frontiers in neurology
Published: March 01, 2018
Intraspinal pressure and spinal cord perfusion pressure predict neurological outcome after traumatic spinal cord injury.
Journal: Journal of neurology, neurosurgery, and psychiatry
Published: August 03, 2016
Metabolic profile of injured human spinal cord determined using surface microdialysis.
Journal: Journal of neurochemistry
Published: July 10, 2016
Showing 1-10 of 10
Last Updated: 09/26/2026