Machine learning-based techniques to improve lung transplantation outcomes and complications: a systematic review
Abstract Background Machine learning has been used to develop predictive models to support clinicians in making better and more reliable decisions. The high volume of collected data in the lung transplant process makes it possible to extract hidden patterns by applying machine learning methods. Our...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-12-01
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| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-022-01823-2 |