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

doi:10.3233/SHTI190539

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	MEDINFO 2019
Subtitle of host publication	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Publisher	IOS Press
Pages	1570-1571
Number of pages	2
ISBN (Electronic)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190539
Publication status	Published - Aug 21 2019
Event	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: Aug 25 2019 → Aug 30 2019

Publication series

Name	Studies in Health Technology and Informatics
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/Territory	France
City	Lyon
Period	8/25/19 → 8/30/19

Keywords

Electronic health records
Neural networks
Renal dialysis

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/SHTI190539

Cite this

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. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1570-1571). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190539

Prediction of clinical events in hemodialysis patients using an artificial neural network. / Putra, Firdani Rianda; Nursetyo, Aldilas Achmad; Thakur, Saurabh Singh et al.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1570-1571 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Putra, FR, Nursetyo, AA, Thakur, SS, Roy, RB, Syed-Abdul, S, Malwade, S & Lia, YC 2019, Prediction of clinical events in hemodialysis patients using an artificial neural network. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1570-1571, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190539

Putra FR, Nursetyo AA, Thakur SS, Roy RB, Syed-Abdul S, Malwade S et al. Prediction of clinical events in hemodialysis patients using an artificial neural network. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1570-1571. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI190539

Putra, Firdani Rianda ; Nursetyo, Aldilas Achmad ; Thakur, Saurabh Singh et al. / Prediction of clinical events in hemodialysis patients using an artificial neural network. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1570-1571 (Studies in Health Technology and Informatics).

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

Abstract

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Keywords

ASJC Scopus subject areas

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