Uli K. Chettipally

发表

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.

A computational approach to early sepsis detection

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

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..

Development of a Clinical Decision Support System for Pediatric Abdominal Pain in Emergency Department Settings Across Two Health Systems Within the HCSRN

David R. Vinson, Gabriela Vazquez-Benitez, Dustin W. Ballard, 2019, EGEMS.

136 Impact of Electronic Clinical Decision Support on Initial Site of Care for Emergency Department Patients With Acute Pulmonary Embolism

David R. Vinson, Dustin W. Ballard, Uli K. Chettipally, 2016 .

Diagnostic Performance of Emergency Physician Gestalt for Predicting Acute Appendicitis in Patients Age 5 to 20 Years

Uli K. Chettipally, Laura E. Simon, U. Chettipally, 2020, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Increasing Safe Outpatient Management of Emergency Department Patients With Pulmonary Embolism

Uli K. Chettipally, Mary Reed, David Vinson, 2018, Annals of Internal Medicine.

Automated Retrospective Calculation of the EDACS and HEART Scores in a Multicenter Prospective Cohort of Emergency Department Chest Pain Patients

Uli K. Chettipally, Laura E. Simon, U. Chettipally, 2020, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Multicentre 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, BMJ Open.

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Uli K. Chettipally, D. Wales, Thomas Desautels, 2016, JMIR medical informatics.

Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data

Uli K. Chettipally, Hamid Mohamadlou, L. Shieh, 2017, bioRxiv.

Graded Coronary Risk Stratification for Emergency Department Patients With Chest Pain: A Controlled Cohort Study

Uli K. Chettipally, Laura E. Simon, U. Chettipally, 2021, Journal of the American Heart Association.

Prospective Validation and Comparative Analysis of Coronary Risk Stratification Strategies Among Emergency Department Patients With Chest Pain

Uli K. Chettipally, Laura E. Simon, U. Chettipally, 2021, Journal of the American Heart Association.

Performance of Coronary Risk Scores Among Patients With Chest Pain in the Emergency Department.

Uli K. Chettipally, E. Hess, U. Chettipally, 2018, Journal of the American College of Cardiology.

Nontraumatic subarachnoid hemorrhage in the setting of negative cranial computed tomography results: external validation of a clinical and imaging prediction rule.

Uli K. Chettipally, U. Chettipally, S. Offerman, 2013, Annals of emergency medicine.

Emergency Department Management of Atrial Fibrillation and Flutter and Patient Quality of Life at One Month Postvisit.

Uli K. Chettipally, U. Chettipally, E. M. Warton, 2015, Annals of emergency medicine.

Immediate and delayed traumatic intracranial hemorrhage in patients with head trauma and preinjury warfarin or clopidogrel use.

Uli K. Chettipally, U. Chettipally, S. Offerman, 2012, Annals of emergency medicine.

Does primary stroke center certification change ED diagnosis, utilization, and disposition of patients with acute stroke?

Uli K. Chettipally, U. Chettipally, M. Reed, 2012, The American journal of emergency medicine.

Bleeding complications of central venous catheterization in septic patients with abnormal hemostasis.

Uli K. Chettipally, U. Chettipally, M. Reed, 2014, The American journal of emergency medicine.

Emergency physician perspectives on central venous catheterization in the emergency department: a survey-based study.

Uli K. Chettipally, U. Chettipally, S. Offerman, 2014, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Predictors of Unattempted Central Venous Catheterization in Septic Patients Eligible for Early Goal-directed Therapy

Uli K. Chettipally, U. Chettipally, S. Offerman, 2014, The western journal of emergency medicine.

Use of Traumatic Brain Injury Prediction Rules With Clinical Decision Support

Nathan Kuppermann, Lalit Bajaj, Marguerite Swietlik, 2017, Pediatrics.

Using electronic health record collected clinical variables to predict medical intensive care unit mortality

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

Development and Validation of a Novel Pediatric Appendicitis Risk Calculator (pARC)

Uli K. Chettipally, P. Dayan, P. O’Connor, 2018, Pediatrics.

Performance of Coronary Risk Scores Among Patients With Chest Pain in the Emergency Department.

Uli K. Chettipally, E. Hess, M. Reed, 2018, Journal of the American College of Cardiology.

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.

Implementation of a Clinical Decision Support System for Children With Minor Blunt Head Trauma Who Are at Nonnegligible Risk for Traumatic Brain Injuries

Uli K. Chettipally, P. Dayan, E. Tham, 2019, Annals of emergency medicine.

Emergency physicians' knowledge and attitudes of clinical decision support in the electronic health record: a survey-based study.

Nathan Kuppermann, Uli K. Chettipally, Ilana Graetz, 2013, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Validation of the Pediatric Appendicitis Risk Calculator (pARC) in a Community Emergency Department Setting.

Uli K. Chettipally, Laura E. Simon, U. Chettipally, 2019, Annals of emergency medicine.

Text message alerts to emergency physicians identifying potential study candidates increase clinical trial enrollment

Uli K. Chettipally, Laura E Simon, Adina S Rauchwerger, 2019, J. Am. Medical Informatics Assoc..

Implementation of Computerized Physician Order Entry Is Associated With Increased Thrombolytic Administration for Emergency Department Patients With Acute Ischemic Stroke.

John Hsu, Uli K. Chettipally, Uli K Chettipally, 2015, Annals of emergency medicine.

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

Uli K. Chettipally, Grant S. Fletcher, P. Stark, 2019, Health Informatics J..

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

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

Thromboprophylaxis for Patients with High-risk Atrial Fibrillation and Flutter Discharged from the Emergency Department

Uli K. Chettipally, A. Go, U. Chettipally, 2018, The western journal of emergency medicine.

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.

Effect of Clinical Decision Support on Diagnostic Imaging for Pediatric Appendicitis

Uli K. Chettipally, Laura E. Simon, P. O’Connor, 2021, JAMA network open.