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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

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ICMJE
MLA
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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, 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