Hayes, W;
Allinovi, M;
(2018)
Beyond playing games: nephrologist vs machine in pediatric dialysis prescribing.
Pediatric Nephrology
, 33
(10)
pp. 1625-1627.
10.1007/s00467-018-4021-4.
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Abstract
In a recent article in Pediatric Nephrology, Olivier Niel and colleagues applied an artificial intelligence algorithm to a clinical problem that continues to challenge experienced pediatric nephrologists: optimizing the target weight of children on dialysis. They compared blood pressure, antihypertensive medication and intradialytic symptoms in children whose target weight was prescribed firstly by a nephrologist, then subsequently using a machine learning algorithm. Improvements in all outcome measures are reported. Their innovative approach to tackling this important clinical problem appears promising. In this editorial, we discuss the strengths and weaknesses of their study and consider to what extent machine learning strategies are suited to optimizing pediatric dialysis outcomes.
| Type: | Article |
|---|---|
| Title: | Beyond playing games: nephrologist vs machine in pediatric dialysis prescribing |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s00467-018-4021-4 |
| Publisher version: | https://doi.org/10.1007/s00467-018-4021-4 |
| Language: | English |
| Additional information: | © The Author(s) 2018. Open Access: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
| Keywords: | Artificial intelligence, Machine learning, Renal dialysis, Body water, Child |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10060645 |
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