Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model
Joint Authors
Larburu, Nekane
Artetxe, Arkaitz
Escolar, Vanessa
Lozano, Ainara
Kerexeta, Jon
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Telecommunications Engineering
Abstract EN
Rapid advances in ICT and collection of large amount of mobile health data are giving room to new ways of treating patients.
Studies suggest that telemonitoring systems and predictive models for clinical support and patient empowerment may improve several pathologies, such as heart failure, which admissions rate is high.
In the current medical practice, clinicians make use of simple rules that generate large number of false alerts.
In order to reduce the false alerts, in this study, the predictive models to prevent decompensations that may lead into admissions are presented.
They are based on mobile clinical data of 242 heart failure (HF) patients collected for a period of 44 months in the public health service of Basque Country (Osakidetza).
The best predictive model obtained is a combination of alerts based on monitoring data and a questionnaire with a Naive Bayes classifier using Bernoulli distribution.
This predictive model performs with an AUC = 67% and reduces the false alerts per patient per year from 28.64 to 7.8.
This way, the system predicts the risk of admission of ambulatory patients with higher reliability than current alerts.
American Psychological Association (APA)
Larburu, Nekane& Artetxe, Arkaitz& Escolar, Vanessa& Lozano, Ainara& Kerexeta, Jon. 2018. Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model. Mobile Information Systems،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1204665
Modern Language Association (MLA)
Larburu, Nekane…[et al.]. Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model. Mobile Information Systems No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1204665
American Medical Association (AMA)
Larburu, Nekane& Artetxe, Arkaitz& Escolar, Vanessa& Lozano, Ainara& Kerexeta, Jon. Artificial Intelligence to Prevent Mobile Heart Failure Patients Decompensation in Real Time: Monitoring-Based Predictive Model. Mobile Information Systems. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1204665
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204665