Publications

Table of contents

Manuscripts — Abstracts

Manuscripts

Rogers' Textbook of Pediatric Intensive Care 6th Edition: Learning from Patient Data: Data Science for Critically Ill Children

Aczon M, Ledbetter D, and Wetzel R

Textbook Oct 2023

Prehospitalization Trauma and Physiologic Factors Associated with the Development of Post-traumatic Stress 3 Months after PICU Discharge

Chau A, Eckberg RA, Laksana E, Ehrlich L, Ledbetter D, Aczon M, Gold JI, Wetzel R, Nelson LP

JICM Dec 2023

Ventilator Weaning and Terminal Extubation: Withdrawal of Life-Sustaining Therapy in Children. Secondary Analysis of the Death One Hour After Terminal Extubation Study

Pringle CP, Filipp SL, Morrison WE, Fainberg NA, Aczon MD, Avesar M, Burkiewicz K, Chandnani HK, Hsu S, Laksana E, Ledbetter DR, McCrory MC, Morrow KR, Noguchi A, O’Brien CE, Ojha A, Ross PA, Shah S, Shah J, Siegel LB, Tripathi S, Wetzel RC, Zhou AX, Winter MC

CCM Oct 2023

A Novel Application of Spectrograms with Machine Learning Can Detect Patient Ventilator Dyssynchrony

Obeso I, Yoon B, Ledbetter D, Aczon M, Laksana E, Zhou A, Eckberg RA, Mertan K, Khemani RG, Wetzel R

BSPC Sept 2023

Narrowing the Gap: Expected vs Deployment Performance

Zhou AX, Aczon MD, Laksana E, Ledbetter DR, Wetzel RC

JAMIA Jun 2023

Analgesia and Sedation at Terminal Extubation: A Secondary Analysis From Death One Hour After Terminal Extubation Study Data

Tripathi S, Laksana E, McCrory MC, Hsu S, Zhou AX, Burkiewicz K, Ledbetter DR, Aczon MD, Shah S, Siegel L, Fainberg N, Morrow KR, Avesar M, Chandnani HK, Shah J, Pringle C, Winter MC

PCCM Jun 2023

Development of a Deep Learning Model that Predicts Bi-Level Positive Airway Pressure Failure

Im DD, Laksana E, Ledbetter DR, Aczon MD, Khemani RG, Wetzel RC

Sci Rep May 2022

High-Flow Nasal Cannula Failure in an ICU Using a Recurrent Neural Network with Transfer Learning and Input Data Perseveration: A Retrospective Analysis

Pappy G, Aczon M, Wetzel R, Ledbetter D

JMIR Mar 2022

Improving Recurrent Neural Network Responsiveness to Acute Clinical Events

Ledbetter DR, Laksana E, Aczon M, Wetzel R

IEEE Jul 2021

Continuous Prediction of Mortality in the PICU: a Recurrent Neural Network Model in a Single Center Dataset

Aczon MD, Ledbetter DR, Laksana E, Ho LV, Wetzel, RC

PCCM Jun 2021

Interpreting a Recurrent Neural Network’s Predictions of ICU Mortality Risk

Ho LV, Aczon M, Ledbetter D, Wetzel R

JBI Feb 2021

Machine Learning to Predict Cardiac Death Within 1 Hour After Terminal Extubation, Pediatric Critical Care Medicine

Winter MC, Day TE, Ledbetter DR, Aczon MD, Newth CJ, Wetzel RC, Ross PA

PCCM Jul 2020

The Impact of Extraneous Features on the Performance of Recurrent Neural Network Models in Clinical Tasks

Laksana E, Aczon M, Ho L, Carlin C, Ledbetter D, Wetzel R

JBI Feb 2020

Predicting Individual Physiologically Acceptable States at Discharge from a Pediatric Intensive Care Unit

Carlin CS, Ho LV, Ledbetter DR, Aczon MD, Wetzel RC

JAMIA Dec 2018

Artificial Intelligence: An Inkling of Caution

Wetzel RC, Aczon M, Ledbetter DR

PCCM Oct 2018

Applying Machine Learning to Pediatric Critical Care Data

Williams JB, Ghosh D, Wetzel RC

PCCM Jul 2018

The Dependence of Machine Learning on Electronic Medical Record Quality

Ho LV, Ledbetter D, Aczon M, Wetzel R

AMIA Apr 2018

Directly Modeling Missing Data in Sequences with RNNs: Improved Classification of Clinical Time Series

Lipton ZC, Kale D, Wetzel R

MLHC Jun 2016

Unsupervised Pattern Discovery in Electronic Health Care Data Using Probabilistic Clustering Models

Marlin BM, Kale DC, Khemani RG, Wetzel RC

ACM SIGHIT Jan 2012

An Informatics Architecture for the Virtual Pediatric Intensive Care Unit

Crichton DJ, Mattmann CA, Hart AF, Kale D, Khemani RG, Ross P, Rubin S, Veeravatanayothin P, Braverman A, Goodale C, Wetzel RC

IEEE CBMS Jun 2011

An Open-Source, Grid-Based Software Framework for Management and Sharing of Pediatric Intensive Care Unit Data

Wetzel R, Crichton D, Mattmann C, Hart A, Kale D, Khemani R, Ross P, Vee P, Terry J

J. Crit. Care Apr 2011

Abstracts

Death One Hour After Terminal Extubation (DONATE): A Multisite Cohort Study

Winter M, Zhou A, Laksana E, Aczon M, Ledbetter D, Avesar M, Fainberg N, Hsu S, McCrory M, Morrow K, O’Brien C

CCM Jan 2024

Continuous Vaporized L-Epinephrine for Children with Bronchiolitis

Nigri D, Huang R, Newth C, Ross P, Castro C, Laksana E, Flynn A, Aczon M, Winter M

CCM Jan 2024

Excess Daily Blood Count Sampling In Children: A PICU Data Collaborative Study

Shah S, Dziorny A, Flynn A, Aczon M, Farris R, Horvat C, Tawfik D, Bennett T, Cornell T, Nishisaki A, Kennedy C

CCM Jan 2024

Continuous Prediction of Neurologic Morbidity Risk in the Pediatric Intensive Care Unit

De Souza B, Obeso I, Aczon M, Ledbetter D, Laksana E, Wetzel R, Pineda J

NCS Annual Meeting Jan 2023

Palliative Medications at Terminal Extubation: A Secondary Analysis from DONATE Study Data

Tripathi S, Laksana E, McCrory MC, Hsu S, Zhou AX, Burkiewicz K, Ledbetter DR, Aczon MD, Shah S, Siegel L, Fainberg N, Morrow KR, Avesar M, Chandnani HK, Shah J, Pringle C, Winter MC

SCCM Jan 2023

Comparison of Heparin Dosage in Critically Ill Children

Eckberg RA, Kamerkar A, Laksana E, Aczon MD, Ledbetter DR, Wetzel RC

THSNA Aug 2022

Continuous Prediction of ICU Free Days Using a Recurrent Neural Network in a Pediatric ICU

Eckberg A, Mertan K, Ledbetter D, Aczon M, Laksana E, Wetzel R

CCM Jan 2021

Continuous Prediction of Medical Discharge Within 24 Hours Using a Recurrent Neural Network

Chau A, Eckberg RA, Laksana E, Ehrlich L, Ledbetter D, Aczon M, Gold JI, Wetzel R, Nelson LP

CCM Jan 2021

Continuous Risk of Infection Prediction Using Recurrent Neural Networks in a Pediatric ICU

Obeso I, Ledbetter D, Aczon M, Laksana E, Wintner M, Wetzel R

CCM Jan 2021

Early Prediction of HFNC Failure In the Pediatric ICU Using a Recurrent Neural Network

Pappy G, Ledbetter D, Aczon M, Wetzel R

CCM Jan 2021

Predicting Death Within One Hour After Terminal Withdrawal of Invasive Mechanical Ventilation in Pediatric Patients

Winter M, Day T, Ledbetter D, Aczon M, Newth CJ, Wetzel R, Ross PA

ATS May 2020

Predicting Individual Response to Vasopressors in Children with Septic Shock

Fronda N, Asencio J, Ledbetter D, Aczon M, Wetzel R, Markovitz B

CCM Jan 2019

Prehospitalization Trauma and Physiologic Factors Associated with the Development of Post-traumatic Stress 3 Months after PICU Discharge

Chau A, Eckberg RA, Laksana E, Ehrlich L, Ledbetter D, Aczon M, Gold JI, Wetzel R, Nelson LP

JICM Dec 2023

Prehospitalization Trauma and Physiologic Factors Associated with the Development of Post-traumatic Stress 3 Months after PICU Discharge

Chau A, Eckberg RA, Laksana E, Ehrlich L, Ledbetter D, Aczon M, Gold JI, Wetzel R, Nelson LP

JICM Dec 2023

Predicting Extubation Readiness in Pediatric Intensive Care Patients with Recurrent Neural Networks

Lam V, Pruitt L, Carlin C, Ledbetter D, Aczon M, Wetzel R

CCM Jan 2019

Personalized Predictions of Patient Physiologies for Successful Extubation Using Neural Networks

Ling C, Pruitt L, Carlin C, Ledbetter D, Aczon M, Wetzel R

CCM Jan 2019

Defining Heparin Resistance in Critically Ill Children

Hasson W, Xiong Y, Aczon M, Ledbetter D, Young G, Wetzel R

CCM Jan 2019

Predicting Heparin Resistance in Critically Ill Children with Recurrent Neural Networks

Xiong Y, Hasson W, Carlin C, Aczon M, Ledbetter D, Young G, Wetzel R

CCM Jan 2019

Early prediction of patient deterioration using machine learning techniques with time series data

Shah S, Ledbetter D, Aczon M, Flynn A, Rubin S

CCM Dec 2016

Recurrent Neural Networks on Electronic Medical Records to Assess PICU Mortality Risk

Ledbetter D, Aczon M, Ho L, Gunny A, Wetzel R

CCM Dec 2016