C. Barton

M. Pletcher, C. Barton, K. Sporer, 2006, Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors.

High-dose epinephrine improves the return of spontaneous circulation rates in human victims of cardiac arrest.

C. Barton, M. Callaham, 1991, Annals of emergency medicine.

A novel method of evaluating the impact of secondary brain insults on functional outcomes in traumatic brain-injured patients.

G. Manley, C. Barton, D. Morabito, 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Multicenter validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Uli K. Chettipally, Grant S. Fletcher, L. Shieh, 2018, bioRxiv.

Subarachnoid hemorrhage presenting as acute chest pain: a variant of le coup de poignard.

C. Barton, 1988, Annals of emergency medicine.

A randomized clinical trial of high-dose epinephrine and norepinephrine vs standard-dose epinephrine in prehospital cardiac arrest.

C. Barton, M. Callaham, C. Madsen, 1992, JAMA.

Prediction of outcome of cardiopulmonary resuscitation from end‐tidal carbon dioxide concentration

C. Barton, M. Callaham, M Callaham, 1990, Critical care medicine.

Influence of data resolution and interpolation method on assessment of secondary brain insults in neurocritical care

G. Manley, C. Barton, D. Morabito, 2005, Physiological measurement.

A computational approach to early sepsis detection

Christopher W. Barton, Uli K. Chettipally, Jacob S. Calvert, 2016, Comput. Biol. Medicine.

Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs

Yifan Zhou, Christopher W. Barton, Uli K. Chettipally, 2019, Comput. Biol. Medicine.

Multicenter validation of a machine learning algorithm for 48 hour all-cause mortality prediction

Philip B. Stark, Christopher Barton, Hamid Mohamadlou, 2018, bioRxiv.

High-performance detection and early prediction of septic shock for alcohol-use disorder patients

Hamid Mohamadlou, Uli K. Chettipally, Ritankar Das, 2016, Annals of medicine and surgery.

Pediatric Severe Sepsis Prediction Using Machine Learning

J. Calvert, S. Le, A. Allen, 2019, Frontiers in pediatrics.

Cost and mortality impact of an algorithm-driven sepsis prediction system

Yaniv Kerem, Uli K. Chettipally, Ritankar Das, 2017, Journal of medical economics.

Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting

Yaniv Kerem, Ritankar Das, Grant Fletcher, 2017, Biomedical informatics insights.

Effect of epinephrine on the ability of end‐tidal carbon dioxide readings to predict initial resuscitation from cardiac arrest

C. Barton, M. Callaham, M. Matthay, 1992, Critical care medicine.

Pediatric Severe Sepsis Prediction Using Machine Learning

J. Calvert, S. Le, C. Barton, 2019, Front. Pediatr..

Discharge recommendation based on a novel technique of homeostatic analysis

Christopher W. Barton, Uli K. Chettipally, Jacob S. Calvert, 2017, J. Am. Medical Informatics Assoc..