A. Johnson

发表

Severity of Illness Scores May Misclassify Critically Ill Obese Patients*

L. Celi, M. Komorowski, D. Stone, 2017, Critical care medicine.

Impact of Intensive Care Unit Discharge Delays on Patient Outcomes: A Retrospective Cohort Study

Alistair E. W. Johnson, L. Celi, J. Raffa, 2018, Journal of intensive care medicine.

Clinical Intervention Prediction and Understanding using Deep Networks pdf

Peter Szolovits, Marzyeh Ghassemi, Leo Anthony Celi, 2017, ArXiv.

Extract Respiratory Signal ( s ) Fuse Signals Estimate BR ( s ) Fuse BR Estimates Quality Assessment ECG or PPG BR

Alistair E. W. Johnson, Marco A. F. Pimentel, Drew A. Birrenkott, 2017 .

Prediction on critically ill patients: The role of "big data".

Alistair E. W. Johnson, R. Deliberato, A. Johnson, 2020, Journal of critical care.

A New Severity of Illness Scale Using a Subset of Acute Physiology and Chronic Health Evaluation Data Elements Shows Comparable Predictive Accuracy*

Gari D. Clifford, Alistair E. W. Johnson, Andrew A. Kramer, 2013, Critical care medicine.

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph

Alistair E. W. Johnson, L. Celi, A. Karargyris, 2021, npj Digital Medicine.

Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing

Alistair E. W. Johnson, Marta P. B. Fernandes, L. Celi, 2020, PloS one.

Circadian variation in new-onset atrial fibrillation in patients in ICUs.

Alistair E. W. Johnson, P. Watkinson, A. Johnson, 2021, Journal of critical care.

Prolonged Elevated Heart Rate and 90-Day Survival in Acutely Ill Patients: Data From the MIMIC-III Database

Alistair E. W. Johnson, Alistair E W Johnson, Veit Sandfort, 2019, Journal of intensive care medicine.

Ignorance Isn't Bliss: We Must Close the Machine Learning Knowledge Gap in Pediatric Critical Care

Alistair E. W. Johnson, A. Johnson, L. Rosella, 2022, Frontiers in Pediatrics.

Complex inter-relationship of body mass index, gender and serum creatinine on survival: exploring the obesity paradox in melanoma patients treated with checkpoint inhibition

Alistair E. W. Johnson, F. Hodi, S. Waikar, 2019, Journal of Immunotherapy for Cancer.

Early warning score using electronically-held data for patients discharged from intensive care units

Alistair E. W. Johnson, L. Tarassenko, D. Clifton, 2020 .

Long-term Overall Survival and Predictors in Anti–PD-1-naive Melanoma Patients With Brain Metastases Treated With Immune Checkpoint Inhibitors in the Real-world Setting: A Multicohort Study

Alistair E. W. Johnson, R. Sullivan, F. Hodi, 2021, Journal of immunotherapy.

Right Ventricular Function, Peripheral Edema, and Acute Kidney Injury in Critical Illness

Alistair E. W. Johnson, R. Mark, L. Celi, 2017, Kidney international reports.

Effect of spontaneous breathing on ventilator-free days in critically ill patients—an analysis of patients in a large observational cohort

L. Celi, P. Pelosi, R. Deliberato, 2021, Annals of translational medicine.

The Global Open Source Severity of Illness Score (GOSSIS)*

L. Celi, J. Raffa, A. Johnson, 2022, Critical care medicine.

33: THE GLOBAL OPEN SOURCE SEVERITY OF ILLNESS SCORE (GOSSIS)

L. Celi, J. Raffa, A. Johnson, 2019 .

Normalization of mechanical power to anthropometric indices: impact on its association with mortality in critically ill patients

Alistair E. W. Johnson, L. Celi, P. Pelosi, 2019, Intensive Care Medicine.

Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts

Pedro Amorim, Alistair E. W. Johnson, Paolo Pelosi, 2018, Intensive Care Medicine.

Machine Learning and Decision Support in Critical Care

Shamim Nemati, David A. Clifton, Mohammad M. Ghassemi, 2016, Proceedings of the IEEE.

Machine Learning and Decision Support in Critical Care This paper discusses the issues of compartmentalization, corruption, and complexity involved in collection and preprocessing of critical care data.

Shamim Nemati, Mohammad M. Ghassemi, Alistair E. W. Johnson, 2016 .

Comparing COVID-19 and Influenza Presentation and Trajectory

Alistair E. W. Johnson, D. Eytan, J. Behar, 2021, Frontiers in Medicine.

MIMIC-III, a freely accessible critical care database

Peter Szolovits, Leo Anthony Celi, Mengling Feng, 2016, Scientific Data.

MIMIC-CXR: A large publicly available database of labeled chest radiographs pdf

Roger G. Mark, Matthew P. Lungren, Steven Horng, 2019, ArXiv.

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

David A. Clifton, Jordi Alastruey, Lionel Tarassenko, 2017, IEEE Reviews in Biomedical Engineering.

Bridging the Health Data Divide

Leo Anthony Celi, David J Stone, Matthieu Komorowski, 2016, Journal of medical Internet research.

Clinical Intervention Prediction and Understanding with Deep Neural Networks

Peter Szolovits, Marzyeh Ghassemi, Leo Anthony Celi, 2017, MLHC.

AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017

Qiao Li, Li-Wei H. Lehman, Roger G. Mark, 2017, 2017 Computing in Cardiology (CinC).

Do We Still Need Clinical Language Models?

Micah J. Smith, Alistair E. W. Johnson, Zachary M. Ziegler, 2023, CHIL.

Reproducibility in critical care: a mortality prediction case study

Roger G. Mark, Alistair E. W. Johnson, Tom J. Pollard, 2017, MLHC.

Predicting and Understanding Unexpected Respiratory Decompensation in Critical Care Using Sparse and Heterogeneous Clinical Data

Li-Wei H. Lehman, Roger G. Mark, Matthieu Komorowski, 2018, 2018 IEEE International Conference on Healthcare Informatics (ICHI).

Real-time Mortality Prediction in the Intensive Care Unit

Roger G. Mark, Alistair E. W. Johnson, R. Mark, 2018, AMIA.

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

Steven Horng, Nathaniel R. Greenbaum, Alistair E. W. Johnson, 2019, Scientific Data.

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

Alistair E. W. Johnson, Omar Badawi, Alistair E W Johnson, 2018, Scientific Data.

An open access database for the evaluation of heart sound algorithms

Qiao Li, Gari D Clifford, Francisco Castells, 2016, Physiological measurement.

Towards a Robust Estimation of Respiratory Rate from Pulse Oximeters

David A. Clifton, Lionel Tarassenko, Peter J. Watkinson, 2016 .

Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

Alistair E. W. Johnson, S. Pfohl, A. Johnson, 2021, Scientific Reports.

TITLE: Evaluation of Domain Generalization and Adaptation on Improving Model Robustness to Temporal Dataset Shift in Clinical Medicine RUNNING HEAD: Model Robustness to Dataset Shift

Jason Alan Fries, A. Johnson, R. Pfohl, 2021 .

MIMIC-IV, a freely accessible electronic health record dataset

Alistair E. W. Johnson, Li-wei H. Lehman, R. Mark, 2023, Scientific Data.

R-peak estimation using multimodal lead switching

Fernando Andreotti, Julien Oster, Gari D. Clifford, 2014, Computing in Cardiology 2014.

A Comparison of Single Channel Fetal ECG Extraction Methods

Alistair E. W. Johnson, G. Clifford, J. Oster, 2014, Annals of Biomedical Engineering.

Estimating patient's health state using latent structure inferred from clinical time series and text

Aaron Zalewski, Li-Wei H. Lehman, William J. Long, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Generalizability of predictive models for intensive care unit patients pdf

Alistair E. W. Johnson, Tristan Naumann, Tom J. Pollard, 2018, ArXiv.

Deidentification of free-text medical records using pre-trained bidirectional transformers

Alistair E. W. Johnson, Tom J. Pollard, Lucas Bulgarelli, 2020, CHIL.

Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters

Shamim Nemati, Julien Oster, Gari D. Clifford, 2015, IEEE Transactions on Biomedical Engineering.

Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing

Leo Anthony Celi, Steven Horng, Alistair E. W. Johnson, 2020, PloS one.

SEVERITAS: An externally validated mortality prediction for critically ill patients in low and middle-income countries

Edson Amaro Júnior, Alistair E. W. Johnson, Ary Serpa Neto, 2019, Int. J. Medical Informatics.

tableone: An open source Python package for producing summary statistics for research papers

Roger G. Mark, Alistair E. W. Johnson, Tom J. Pollard, 2018, JAMIA open.

Dynamics of multivariate vital sign time series and severe sepsis among patients in critical care

Shamim Nemati, Roger G. Mark, Alistair E. W. Johnson, 2017 .

A Support Vector Machine approach for reliable detection of atrial fibrillation events

Luca T. Mainardi, Gari D. Clifford, Alistair E. W. Johnson, 2013, Computing in Cardiology 2013.

Bayesian fusion of physiological measurements using a signal quality extension

Gari D Clifford, Yang Yang, Tingting Zhu, 2018, Physiological measurement.

Closing the data loop: An integrated open access analysis platform for the MIMIC database

Paul Brown, Ananth Grama, Mohammad Adibuzzaman, 2016, 2016 Computing in Cardiology Conference (CinC).

Mechanical power during mechanical ventilation of critically ill patients

Alistair E. W. Johnson, P. Pelosi, R. Deliberato, 2017 .

Multimodal heart beat detection using signal quality indices

Gari D Clifford, Fernando Andreotti, Joachim Behar, 2015, Physiological measurement.

Classification of normal/abnormal heart sound recordings: The PhysioNet/Computing in Cardiology Challenge 2016

Qiao Li, José Millet-Roig, Roger G. Mark, 2016, 2016 Computing in Cardiology Conference (CinC).