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A Deep Neural Network Two-part Model and Feature Importance Test for Semi-continuous Data

2023-06-09

Abstract excerpt

Semi-continuous data frequently arise in clinical practice. For example, while many surgical patients suffer from varying degrees of acute postoperative pain (POP) post surgery (i.e., POP score > 0), others experience none (i.e., POP score = 0), indicating the existence of two distinct data processes at play. Existing parametric or semi-parametric two-part modeling methods for this type of semicontinuous data can...

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Literature Corpus work
2a8b97ad-cd6d-51a4-81f6-13c37f3e2b9f
DOI
10.1101/2023.06.07.544106
Open publication

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A Deep Neural Network Two-part Model and Feature Importance Test for Semi-continuous DataDOI 10.1101/2023.06.07.544106
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