Machine-Learning Model to Predict the Intradialytic Hypotension Based on Clinical-Analytical Data-Reference-Cited by-同舟云学术

Machine-Learning Model to Predict the Intradialytic Hypotension Based on Clinical-Analytical Data

Published:2022 Issue: Volume:10 Page:72065-72079
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mendoza-Pitti Luis¹^ORCID,Gomez-Pulido Jose Manuel¹^ORCID,Vargas-Lombardo Miguel²^ORCID,Gomez-Pulido Juan A.³^ORCID,Polo-Luque Maria-Luz⁴,Rodriguez-Puyol Diego⁵

Affiliation:

1. Department of Computer Science, Health Computing and Intelligent Systems Research Group (HCIS), Ramón y Cajal Institute for Health Research (IRYCIS), University of Alcalá, Alcalá de Henares, Spain

2. SNI, Senacyt Panama, E-Health and Supercomputing Research Group (GISES), Technological University of Panama, Panama City, Panama

3. Department of Technologies of Computers and Communications, University of Extremadura, Cáceres, Spain

4. Department of Nursing and Physiotherapy, University of Alcalá, Alcalá de Henares, Spain

5. Department of Medicine and Medical Specialties, Research Foundation of the University Hospital Príncipe de Asturias, IRYCIS, University of Alcalá, Alcalá de Henares, Madrid, Spain

Funder

Nephrology Section of the Hospital Universitario Príncipe de Asturias

National Secretariat for Science, Technology and Innovation (SENACYT, Panama) and the Institute for the Training and Use of Human Resources (IFARHU), for the doctoral study scholarship

SENACYT through the National Research System (SNI-SENACYT) National Research System

Fresenius Medical Care AG company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09817124.pdf?arnumber=9817124

Reference83 articles.

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