Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit
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Summary
Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit is a doctoral thesis[1].
Key Facts
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit authored William Caicedo[2].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's instance of is recorded as doctoral thesis[3].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit was published by Tuwhera Open Access Publisher[4].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's language of work or name is recorded as English[5].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's country of origin is recorded as New Zealand[6].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit was published on 2020[7].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's main subject is deep learning[8].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's title is recorded as Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit[9].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's copyright holder is recorded as William Caicedo[10].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's thesis submitted to is recorded as Auckland University of Technology[11].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's on focus list of Wikimedia project is recorded as NZThesisProject[12].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's copyright status is recorded as copyrighted[13].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's thesis committee member is recorded as Jairo Gutierrez[14].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's thesis committee member is recorded as David Parry[15].
- Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's thesis submitted for degree is recorded as Doctor of Philosophy[16].
Body
Designation and Status
Interpretable Deep Learning Architectures for Mortality Prediction Inside the Intensive Care Unit's instance of is recorded as doctoral thesis[3].