Artificial intelligence outperforms experienced nephrologists to assess dry weight in pediatric patients on chronic hemodialysis.
Journal:
Pediatric nephrology (Berlin, Germany)
Published Date:
Oct 1, 2018
Abstract
BACKGROUND: Dry weight is the lowest weight patients on hemodialysis can tolerate; correct dry weight estimation is necessary to minimize morbi-mortality, but is difficult to achieve. Here, we used artificial intelligence to improve the accuracy of dry weight assessment in hemodialysis patients.
Authors
Keywords
Adolescent
Antihypertensive Agents
Blood Pressure
Blood Pressure Determination
Blood Volume
Body Fluids
Body Mass Index
Body Weight
Child
Decision Making, Computer-Assisted
Dose-Response Relationship, Drug
Feasibility Studies
Female
Humans
Hypertension
Kidney Failure, Chronic
Male
Nephrologists
Neural Networks, Computer
Renal Dialysis