EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Event submissions
Published
with-doi10.3390/mol2net-07-11841
This submission belongs to the session 05. AI.MED-08: AI, Neuro Sciences, Med. Info., & Biomed. Eng. Congress, Coruña, Spain-Carleton, Canada-Stanford, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
23 Nov, 2021
Academic Editor
author-avatarHumbert G. Díaz
Citation
Brais Galdo, Alejandro Puente-Castro, Juan Ramón Rabuñal, Alejandro Pazos Sierra, Practicum Direct, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-11841
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Practicum Direct

Alejandro Puente-Castro 1,2
Brais Galdo 3
image
Juan Ramón Rabuñal 1,2
Alejandro Pazos Sierra 1,2
1. RNASA-IMEDIR
2. UDC
3. Universidade da Coruña, Spain
Abstract

The current SARS-CoV-2 pandemic has put the entire civilization, particularly medical systems around the world, to the test. Managers and decision-makers in the health-care system must maximize resource management. Because of their predictive capacity, Artificial Intelligence (AI) tools and procedures are extremely useful in decision-making in emergency situations including severe pandemics. The PRACTICUM DIRECT project is presented in this paper, which proposes the design and development of a tool to aid health system managers in making early management decisions of hospital resources using AI approaches.

Keywords
health
artificial intelligence
SARS-CoV-2
decision-maker
Manuscript
APC_PD.pdf
Poster
APC_PD.pdf
APC_PD.pdf
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