Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Computer Methods and Programs in Biomedicine 238.2023, August, 107613
- Event
-
Veröffentlichung
- (where)
-
Furtwangen
- (who)
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Hochschule Furtwangen
- (when)
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2023
- Creator
- DOI
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10.1016/j.cmpb.2023.107613
- URN
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urn:nbn:de:bsz:fn1-opus4-101782
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:27 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yang, Lin
- Li, Zhe
- Dai, Meng
- Fu, Feng
- Möller, Knut
- Gao, Yuan
- Zhao, Zhanqi
- Hochschule Furtwangen
Time of origin
- 2023
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The feasibility to track the inhaled drugs delivery with electrical impedance tomography
PEEP titration guided by ventilation homogeneity: a feasibility study using electrical impedance tomography
Determination of regional lung function in cystic fibrosis using electrical impedance tomography
The EIT-based global inhomogeneity index is highly correlated with regional lung opening in patients with acute respiratory distress syndrome
Does thorax EIT image analysis depend on the image reconstruction method?
Developing Customized Evaluation Software for Clinical Trials: An Example with Obstructive Lung Diseases
Bedside electrical impedance tomography to assist the management of pulmonary embolism : A case report
First Attempt at Using Electrical Impedance Tomography to Predict High Flow Nasal Cannula Therapy Outcomes at an Early Phase
Monitoring the Efficacy of High-Flow Nasal Cannula Oxygen Therapy in Patients with Acute Hypoxemic Respiratory Failure in the General Respiratory Ward : A Prospective Observational Study
Regional ventilation characteristics in infants after liver transplantation: A pilot study
Editorial: Bedside visual image technologies for respiratory and circulatory management in intensive care settings
Prediction of high-flow nasal cannula outcomes at the early phase using the modified respiratory rate oxygenation index
The feasibility to track the inhaled drugs delivery with electrical impedance tomography
PEEP titration guided by ventilation homogeneity: a feasibility study using electrical impedance tomography
Determination of regional lung function in cystic fibrosis using electrical impedance tomography
The EIT-based global inhomogeneity index is highly correlated with regional lung opening in patients with acute respiratory distress syndrome
Does thorax EIT image analysis depend on the image reconstruction method?
Developing Customized Evaluation Software for Clinical Trials: An Example with Obstructive Lung Diseases
Bedside electrical impedance tomography to assist the management of pulmonary embolism : A case report
First Attempt at Using Electrical Impedance Tomography to Predict High Flow Nasal Cannula Therapy Outcomes at an Early Phase
Monitoring the Efficacy of High-Flow Nasal Cannula Oxygen Therapy in Patients with Acute Hypoxemic Respiratory Failure in the General Respiratory Ward : A Prospective Observational Study