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资源简介：
raw data for `Prediction of Postoperative Pain and Opioid Requirement in Patients Chronically Using Opioids
应用场景：
创建时间：
2019-07-17
相关数据集
Feature importance of Random Forest Model explaining the relative importance of various features contributing to predictions of opioid requirements.
Similar features are consolidated.
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Data for: Prediction of Postoperative Pain and Opioid Requirement in Patients Chronically Using Opioids
raw data for ' Prediction of Postoperative Pain and Opioid Requirement in Patients Chronically Using Opioids'
NIAID Data Ecosystem40
Results of logistic regression modelling after backward selection (likelihood ratio criteria) for postoperative pain development (after to prior treatment sonic irrigation).
Results of logistic regression modelling after backward selection (likelihood ratio criteria) for postoperative pain development (after to prior treatment sonic irrigation).
Figshare2023-05-04 更新20
Data Management and Sharing Plan for: Predictors of Nociplastic Pain after Cardiac Surgery Requiring Intensive Care
The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
DataCite Commons2026-04-28 更新40
Predictors of postoperative treatment-requiring pain in robotic thyroid surgery patients anesthetized with total intravenous anesthesia.
Predictors of postoperative treatment-requiring pain in robotic thyroid surgery patients anesthetized with total intravenous anesthesia.
Figshare2018-12-14 更新30
