A Comparison Between Sensitivity Analysis of Oxygenation Severity and Acute Respiratory Distress Syndrome (ARDS) of a Machine Learning Algorithm to Predict Hypoxic Respiratory Failure by Utilizing Features Derived From Electrocardiogram (ECG) and Routine Clinical Data
Publication
, Conference
Marshall, CE; Narendrula, S; Wang, J; Vale, JDS; Jeong, H; Krishnan, P; Yang, P; Austin, NJ; McLean, JS; Holder, AL; Esper, AM; Kamaleswaran, R
Published in: AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
2023
Duke Scholars
Published In
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
EISSN
1535-4970
ISSN
1073-449X
Publication Date
2023
Volume
207
Related Subject Headings
- Respiratory System
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology
- 11 Medical and Health Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Marshall, C. E., Narendrula, S., Wang, J., Vale, J. D. S., Jeong, H., Krishnan, P., … Kamaleswaran, R. (2023). A Comparison Between Sensitivity Analysis of Oxygenation Severity and Acute Respiratory Distress Syndrome (ARDS) of a Machine Learning Algorithm to Predict Hypoxic Respiratory Failure by Utilizing Features Derived From Electrocardiogram (ECG) and Routine Clinical Data. In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (Vol. 207).
Marshall, C. E., S. Narendrula, J. Wang, J De Souza Vale, H. Jeong, P. Krishnan, P. Yang, et al. “A Comparison Between Sensitivity Analysis of Oxygenation Severity and Acute Respiratory Distress Syndrome (ARDS) of a Machine Learning Algorithm to Predict Hypoxic Respiratory Failure by Utilizing Features Derived From Electrocardiogram (ECG) and Routine Clinical Data.” In AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, Vol. 207, 2023.
Marshall CE, Narendrula S, Wang J, Vale JDS, Jeong H, Krishnan P, et al. A Comparison Between Sensitivity Analysis of Oxygenation Severity and Acute Respiratory Distress Syndrome (ARDS) of a Machine Learning Algorithm to Predict Hypoxic Respiratory Failure by Utilizing Features Derived From Electrocardiogram (ECG) and Routine Clinical Data. In: AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2023.
Marshall, C. E., et al. “A Comparison Between Sensitivity Analysis of Oxygenation Severity and Acute Respiratory Distress Syndrome (ARDS) of a Machine Learning Algorithm to Predict Hypoxic Respiratory Failure by Utilizing Features Derived From Electrocardiogram (ECG) and Routine Clinical Data.” AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, vol. 207, 2023.
Marshall CE, Narendrula S, Wang J, Vale JDS, Jeong H, Krishnan P, Yang P, Austin NJ, McLean JS, Holder AL, Esper AM, Kamaleswaran R. A Comparison Between Sensitivity Analysis of Oxygenation Severity and Acute Respiratory Distress Syndrome (ARDS) of a Machine Learning Algorithm to Predict Hypoxic Respiratory Failure by Utilizing Features Derived From Electrocardiogram (ECG) and Routine Clinical Data. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE. 2023.
Published In
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
EISSN
1535-4970
ISSN
1073-449X
Publication Date
2023
Volume
207
Related Subject Headings
- Respiratory System
- 3202 Clinical sciences
- 3201 Cardiovascular medicine and haematology
- 11 Medical and Health Sciences