Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms

被引:17
作者
Zhou, Cheng-Mao [1 ,2 ]
Wang, Ying [3 ]
Xue, Qiong [3 ]
Yang, Jian-Jun [3 ]
Zhu, Yu [1 ,2 ]
机构
[1] Cent Peoples Hosp Zhanjiang, Dept Anaesthesiol, Zhanjiang, Guangdong, Peoples R China
[2] Cent Peoples Hosp Zhanjiang, Anesthesia & Big Data Res Grp, Zhanjiang, Guangdong, Peoples R China
[3] Zhengzhou Univ, Affiliated Hosp 1, Dept Anesthesiol Pain & Perioperat Med, Zhengzhou, Henan, Peoples R China
关键词
PONV; Machine learning; Deep learning; SVC; AUC; RISK-FACTORS; NAUSEA; SURGERY; CANCER;
D O I
10.1186/s12874-023-01955-z
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective PONV reduces patient satisfaction and increases hospital costs as patients remain in the hospital for longer durations. In this study, we build a preliminary artificial intelligence algorithm model to predict early PONV in patients. Methods We use R for statistical analysis and Python for the machine learning prediction model. Results Average characteristic engineering results showed that haloperidol, sex, age, history of smoking, and history of PONV were the first 5 contributing factors in the occurrence of early PONV. Test group results for artificial intelligence prediction of early PONV: in terms of accuracy, the four best algorithms were CNNRNN (0.872), Decision Tree (0.868), SVC (0.866) and adab (0.865); in terms of precision, the three best algorithms were CNNRNN (1.000), adab (0.400) and adab (0.868); in terms of AUC, the top three algorithms were Logistic Regression (0.732), SVC (0.731) and adab (0.722). Finally, we built a website to predict early PONV online using the Streamlit app on the following website: (https://zhouchengmao-streamlit-app-lsvc-ad-st-app-lsvc-adab-ponv-m9ynsb.streamlit.app/). Conclusion Artificial intelligence algorithms can predict early PONV, whereas logistic regression, SVC and adab were the top three artificial intelligence algorithms in overall performance. Haloperidol, sex, age, smoking history, and PONV history were the first 5 contributing factors associated with early PONV.
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页数:9
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