Predicting intensive care unit readmission with machine learning using electronic health record data
JC Rojas, KA Carey, DP Edelson… - Annals of the …, 2018 - atsjournals.org
Rationale: Patients transferred from the intensive care unit to the wards who are later
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
JC Rojas, KA Carey, DP Edelson… - Annals of the …, 2018 - search.proquest.com
a simpler physiologic GBM model was fit that included age, vital signs, and laboratory data
as predictor variables in the University of Chicago cohort to be validated in the MIMICIII …
as predictor variables in the University of Chicago cohort to be validated in the MIMICIII …
[PDF][PDF] Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
JC Rojas, KA Carey, DP Edelson, LR Venable… - Ann Am Thorac Soc …, 2018 - academia.edu
Rationale: Patients transferred from the intensive care unit to the wards who are later
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
[HTML][HTML] Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
JC Rojas, KA Carey, DP Edelson… - Annals of the …, 2018 - ncbi.nlm.nih.gov
Rationale: Patients transferred from the intensive care unit to the wards who are later
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
JC Rojas, KA Carey, DP Edelson… - … CRITICAL CARE: BIG …, 2018 - atsjournals.org
RATIONALE: Patients transferred from the intensive care unit (ICU) to the wards who are
later readmitted to the ICU have increased length of stay, healthcare expenditure, and …
later readmitted to the ICU have increased length of stay, healthcare expenditure, and …
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.
JC Rojas, KA Carey, DP Edelson… - Annals of the …, 2018 - europepmc.org
Objectives We aimed to use a machine-learning technique to derive and validate an
intensive care unit readmission prediction model with variables available in the electronic …
intensive care unit readmission prediction model with variables available in the electronic …
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data
JC Rojas, KA Carey, DP Edelson… - Annals of the …, 2018 - pubmed.ncbi.nlm.nih.gov
Rationale Patients transferred from the intensive care unit to the wards who are later
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
readmitted to the intensive care unit have increased length of stay, healthcare expenditure …
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record Data.
JC Rojas, KA Carey, DP Edelson… - Annals of the …, 2018 - europepmc.org
Objectives We aimed to use a machine-learning technique to derive and validate an
intensive care unit readmission prediction model with variables available in the electronic …
intensive care unit readmission prediction model with variables available in the electronic …