Andrew P. Michelson, MD


Assistant Professor | Director, Critical Care Informatics Research | Faculty Affiliate, Institute for Informatics | Intensivist | Physician Scientist

Tags in Blog

AI/ML (5) COVID-19 (2) EHR (2) HAI (2) HHFNC (1) PGD (2) SOFA (1) antibiotics (1) antimicrobial stewardship (2) artificial intelligence (1) clinical trajeectories (1) cohorts (2) covid (3) critical care outcomes (5) deep learning (1) early warning systems (1) explainability (1) healthcare associated infections (1) hospital acquired infections (1) infections (2) informatics (6) lung transplant (1) lung transplantation (1) machine learning (3) mechanical ventilation (1) neural networks (1) oxygenation (1) phenotypes (1) prediction models (2) predictive modeling (3) publication (6) respiratory support (1) review (2) sars-cov-2 (3) sepsis (8) sepsis criteria (2) xai (1)

AI/ML

[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation
[publication] Self-explaining neural network with concept-based explanations for ICU mortality prediction
[publication] Sepsis Prediction for the General Ward Setting
[publication] Self-explaining Neural Network with Plausible Explanations
[publication] A Pragmatic Machine Learning Model To Predict Carbapenem Resistance

COVID-19

[publication] Use of Inhaled Epoprostenol in Patients With COVID-19 Receiving Humidified, High-Flow Nasal Oxygen Is Associated With Progressive Respiratory Failure
[publication] Use of Inhaled Epoprostenol in Patients With COVID-19 Receiving Humidified, High-Flow Nasal Oxygen Is Associated With Progressive Respiratory Failure

EHR

[publication] Sepsis Prediction for the General Ward Setting
[publication] Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling

HAI

[publication] Risk factors for hospital-acquired infection during the SARS-CoV-2 pandemic
[publication] Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis

HHFNC

[publication] Use of Inhaled Epoprostenol in Patients With COVID-19 Receiving Humidified, High-Flow Nasal Oxygen Is Associated With Progressive Respiratory Failure

PGD

[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation.
[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation

SOFA

[publication] OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification

antibiotics

[review] Redefining the Threshold for Broad-Spectrum Antibiotics

antimicrobial stewardship

[review] Redefining the Threshold for Broad-Spectrum Antibiotics
[publication] A Pragmatic Machine Learning Model To Predict Carbapenem Resistance

artificial intelligence

[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation.

clinical trajeectories

[publication] Hospital trajectories and early predictors of clinical outcomes differ between SARS-CoV-2 and influenza pneumonia

cohorts

[review] Timing of antibiotic therapy in the ICU
[publication] Comparison of Sepsis Definitions as Automated Criteria

covid

[publication] Risk factors for hospital-acquired infection during the SARS-CoV-2 pandemic
[publication] Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis
[publication] Hospital trajectories and early predictors of clinical outcomes differ between SARS-CoV-2 and influenza pneumonia

critical care outcomes

[publication] Factors Associated With Variability in the Performance of a Proprietary Sepsis Prediction Model Across 9 Networked Hospitals in the US
[publication] Risk factors for hospital-acquired infection during the SARS-CoV-2 pandemic
[publication] Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis
[publication] OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification
[publication] Hospital trajectories and early predictors of clinical outcomes differ between SARS-CoV-2 and influenza pneumonia

deep learning

[publication] Self-explaining neural network with concept-based explanations for ICU mortality prediction

early warning systems

[publication] Comparison of early warning scores for sepsis early identification and prediction in the general ward setting

explainability

[publication] Self-explaining Neural Network with Plausible Explanations

healthcare associated infections

[publication] Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis

hospital acquired infections

[publication] Risk factors for hospital-acquired infection during the SARS-CoV-2 pandemic

infections

[publication] Risk factors for hospital-acquired infection during the SARS-CoV-2 pandemic
[publication] Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis

informatics

[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation.
[publication] Use of Inhaled Epoprostenol in Patients With COVID-19 Receiving Humidified, High-Flow Nasal Oxygen Is Associated With Progressive Respiratory Failure
[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation
[publication] Responsible Imputation of Missing Speech Perception Testing Data & Analysis of 4,739 Observations and Predictors of Performance
[publication] Factors Associated With Variability in the Performance of a Proprietary Sepsis Prediction Model Across 9 Networked Hospitals in the US
[publication] Imputation of missing values for cochlear implant candidate audiometric data and potential applications

lung transplant

[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation

lung transplantation

[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation.

machine learning

[publication] Developing machine learning models to predict primary graft dysfunction after lung transplantation
[publication] Responsible Imputation of Missing Speech Perception Testing Data & Analysis of 4,739 Observations and Predictors of Performance
[publication] Imputation of missing values for cochlear implant candidate audiometric data and potential applications

mechanical ventilation

[publication] Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling

neural networks

[publication] Self-explaining Neural Network with Plausible Explanations

oxygenation

[publication] Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling

phenotypes

[publication] Hospital trajectories and early predictors of clinical outcomes differ between SARS-CoV-2 and influenza pneumonia

prediction models

[publication] Self-explaining Neural Network with Plausible Explanations
[publication] A Pragmatic Machine Learning Model To Predict Carbapenem Resistance

predictive modeling

[publication] Factors Associated With Variability in the Performance of a Proprietary Sepsis Prediction Model Across 9 Networked Hospitals in the US
[publication] Self-explaining neural network with concept-based explanations for ICU mortality prediction
[publication] Sepsis Prediction for the General Ward Setting

publication

[publication] Sepsis Prediction for the General Ward Setting
[publication] Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling
[review] Timing of antibiotic therapy in the ICU
[publication] Comparison of early warning scores for sepsis early identification and prediction in the general ward setting
[publication] A Pragmatic Machine Learning Model To Predict Carbapenem Resistance
[publication] Comparison of Sepsis Definitions as Automated Criteria

respiratory support

[publication] Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling

review

[review] Timing of antibiotic therapy in the ICU
[review] Redefining the Threshold for Broad-Spectrum Antibiotics

sars-cov-2

[publication] Risk factors for hospital-acquired infection during the SARS-CoV-2 pandemic
[publication] Healthcare-associated infections (HAIs) during the coronavirus disease 2019 (COVID-19) pandemic: A time-series analysis
[publication] Hospital trajectories and early predictors of clinical outcomes differ between SARS-CoV-2 and influenza pneumonia

sepsis

[publication] Factors Associated With Variability in the Performance of a Proprietary Sepsis Prediction Model Across 9 Networked Hospitals in the US
[publication] OpenSep: a generalizable open source pipeline for SOFA score calculation and Sepsis-3 classification
[publication] Sepsis Prediction for the General Ward Setting
[review] Timing of antibiotic therapy in the ICU
[review] Redefining the Threshold for Broad-Spectrum Antibiotics
[publication] Comparison of early warning scores for sepsis early identification and prediction in the general ward setting
[publication] A Pragmatic Machine Learning Model To Predict Carbapenem Resistance
[publication] Comparison of Sepsis Definitions as Automated Criteria

sepsis criteria

[review] Timing of antibiotic therapy in the ICU
[publication] Comparison of Sepsis Definitions as Automated Criteria

xai

[publication] Self-explaining neural network with concept-based explanations for ICU mortality prediction
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