Item Infomation
| Title: |
| Pulmonary gas exchange evaluated by machine learning a computer simulation |
| Authors: |
| Thomas J., Morgan Adrian N., Langley Robin D. C., Barrett |
| Issue Date: |
| 2023 |
| Publisher: |
| Springer |
| Abstract: |
| Using computer simulation we investigated whether machine learning (ML) analysis of selected ICU monitoring data can quantify pulmonary gas exchange in multi-compartment format. A 21 compartment ventilation/perfusion (V/Q) model of pulmonary blood flow processed 34,551 combinations of cardiac output, hemoglobin concentration, standard P50, base excess, VO2 and VCO2 plus three model-defining parameters: shunt, log SD and mean V/Q. |
| Description: |
| CC BY |
| URI: |
| https://link.springer.com/article/10.1007/s10877-022-00879-1 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7145 |
| Appears in Collections |
| OER- Y học- Điều dưỡng |
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