February 1, 2023Clinical Interventions in AgingOpen Access

Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients

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Why the study?

Does a machine learning algorithm accurately predict high-risk factors for postoperative delirium in elderly patients?

Population

Elderly patients at risk for postoperative delirium

Design

Other

Authors

YLYuan LiuEmory University WSWei ShenShanghai University ZTZhiqiang TianNingxia Medical University

Discussion

Member takes

Implication

May aid POD risk stratification in elderly surgical patients; leaves open prospective validation before clinical adoption.

Structured PICO

Does a machine learning algorithm accurately predict high-risk factors for postoperative delirium in elderly patients?

Population

Elderly patients at risk for postoperative delirium

Intervention

Machine learning algorithm prediction model

Outcome

Prediction accuracy and clinical utility for postoperative delirium

A machine learning algorithm-derived prediction model shows high accuracy and clinical utility for predicting postoperative delirium in elderly patients.

Cite This Study

Liu et al. (2023) studied this question.

synapsesocial.com/papers/69dd426127c48be1bb40c7f8 https://doi.org/10.2147/cia.s398314

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Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients

Discussion

Member takes

Implication

Structured PICO

Cite This Study

Also Consider

Also Consider