Robotics & Machine Learning Daily News2024,Issue(Feb.6) :48-49.DOI:10.3389/fpubh.2023.1282324

Capital Medical University Reports Findings in HIV/AIDS (Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: a retrospective study)

Robotics & Machine Learning Daily News2024,Issue(Feb.6) :48-49.DOI:10.3389/fpubh.2023.1282324

Capital Medical University Reports Findings in HIV/AIDS (Supervised machine learning algorithms to predict the duration and risk of long-term hospitalization in HIV-infected individuals: a retrospective study)

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Abstract

New research on Immune System Diseases and Conditions - HIV/AIDS is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “The study aimed to use supervised machine learning models to predict the length and risk of prolonged hospitalization in PLWHs to help physicians timely clinical intervention and avoid waste of health resources. Regression models were established based on RF, KNN, SVM, and XGB to predict the length of hospital stay using RMSE, MAE, MAPE, and , while classification models were established based on RF, KNN, SVM, NN, and XGB to predict risk of prolonged hospital stay using accuracy, PPV, NPV, specificity, sensitivity, and kappa, and visualization evaluation based on AUROC, AUPRC, calibration curves and decision curves of all models were used for internally validation.”

Key words

Beijing/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/HIV/AIDS/Health and Medicine/Hospitals/Immune System Diseases and Conditions/Machine Learning/Primate Lentiviruses/RNA Viruses/Retroviridae/Risk and Prevention/Vertebrate Viruses/Viral Sexually Transmitted Diseases and Conditions

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量49
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