Prediction of clinical events in hemodialysis patients using an artificial neural network

Firdani Rianda Putra, Aldilas Achmad Nursetyo, Saurabh Singh Thakur, Ram Babu Roy, Shabbir Syed-Abdul, Shwetambara Malwade, Yu Chuan Lia

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Advanced chronic kidney disease (CKD) requires routine renal replacement therapy (RRT) that involves hemodialysis (HD) which may cause increased risk of muscle spasms, cardiovascular events, and death. We used Artificial Neural Network (ANN) method to predict clinical events during the HD sessions. The vital signs, captured using a non-contact bed-sensor, and demographic information from the electronic medical records for 109 patients enrolled in the study was used. Weka Workbench software was used to train and validate the ANN model. The prediction model was built using a Multilayer perceptron (MLP) algorithm as part of the ANN with 10-fold cross-validation. The model showed mean precision and recall of 93.45% and AUC of 96.7%. Age was the most important variable for static feature and heart rate for dynamic feature. This model can be used to predict the risk of clinical events among HD patients and can support decision-making for healthcare professionals.

原文英語
主出版物標題MEDINFO 2019
主出版物子標題Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
編輯Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
發行者IOS Press
頁面1570-1571
頁數2
ISBN(電子)9781643680026
DOIs
出版狀態已發佈 - 八月 21 2019
事件17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, 法国
持續時間: 八月 25 2019八月 30 2019

出版系列

名字Studies in Health Technology and Informatics
264
ISSN(列印)0926-9630
ISSN(電子)1879-8365

會議

會議17th World Congress on Medical and Health Informatics, MEDINFO 2019
國家法国
城市Lyon
期間8/25/198/30/19

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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    Putra, F. R., Nursetyo, A. A., Thakur, S. S., Roy, R. B., Syed-Abdul, S., Malwade, S., & Lia, Y. C. (2019). Prediction of clinical events in hemodialysis patients using an artificial neural network. 於 B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (編輯), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (頁 1570-1571). (Studies in Health Technology and Informatics; 卷 264). IOS Press. https://doi.org/10.3233/SHTI190539