A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor ; volume:8 ; number:1 ; day:13 ; month:9 ; year:2018 ; pages:1-9 ; date:12.2018
Scientific reports ; 8, Heft 1 (13.9.2018), 1-9, 12.2018
- Classification
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Sozialwissenschaften, Soziologie, Anthropologie
- Creator
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Podda, Marco
- Contributor
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Bacciu, Davide
Micheli, Alessio
Bellù, Roberto
Placidi, Giulia
Gagliardi, Luigi
SpringerLink (Online service)
- DOI
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10.1038/s41598-018-31920-6
- URN
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urn:nbn:de:101:1-2018110615550606919519
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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13.06.0001, 8:53 AM CET
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Podda, Marco
- Bacciu, Davide
- Micheli, Alessio
- Bellù, Roberto
- Placidi, Giulia
- Gagliardi, Luigi
- SpringerLink (Online service)
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Resuscitation, survival and morbidity of extremely preterm infants in California 2011–2019
Developing a resiliency model for survival without major morbidity in preterm infants
Flicker electroretinogram in preterm infants
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Nutrition and feeding of preterm infants
The management of extremely preterm infants
Mineral homeostasis in late preterm infants
Mortality rate-dependent variations in the survival without major morbidities rate of extremely preterm infants
Leukocyte recruitment in preterm and term infants
Nasal high flow treatment in preterm infants
lNTRAVENTRlCULAR HEMORRHAGE IN PRETERM INFANTS
Actuarial survival of a large Canadian cohort of preterm infants
Resuscitation, survival and morbidity of extremely preterm infants in California 2011–2019
Developing a resiliency model for survival without major morbidity in preterm infants
Flicker electroretinogram in preterm infants
Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants
Nutrition and feeding of preterm infants
The management of extremely preterm infants
Mineral homeostasis in late preterm infants
Mortality rate-dependent variations in the survival without major morbidities rate of extremely preterm infants
Leukocyte recruitment in preterm and term infants
Nasal high flow treatment in preterm infants